AWS CEO Matt Garman: Partners Are Our ‘Co-Inventors’

Matt Garman’s channel charge is in high gear as he aligns internal sales teams with partners, drives new partner business through the AWS Marketplace and accelerates joint innovation to boost GenAI adoption.

Matt Garman’s message is loud and clear: Amazon Web Services partners need to be attached to every customer account if the $110 billion cloud giant wants to remain a dominant force in the AI era.
“I’m encouraging every single one of our accounts to make sure that partners are attached to almost every single thing that we do,” said AWS’ new CEO. “So that is a message heard loud and clear across our field and is the message that I will continue to push on our field—that every single opportunity should have a partner attached to it in some way, shape or form.”
Garman has been on a channel charge ever since stepping into the CEO role in June after 18 years of working in top executive positions in nearly every crucial AWS department. That experience gives him deep insight into the entire company inside and out—from being at the table with customers to understanding how the channel drives scale.
[RELATED: CEO Matt Garman: Why Partners Are Picking AWS Vs. Microsoft And Google Cloud]
“Partners are an incredibly important relationship for us and for our customers because we know that at the scale that we’re trying to grow and the scale that we’re trying to help our customers modernize, we don’t have enough humans in order to do that,” said Garman. “We want to build great software services and cloud services, but we need those partners to help go and actually make that happen all around the world.”
Partners are cheering Garman’s channel investments—such as signing dozens of heavily funded Strategic Collaboration Agreements with partners and creating an AI innovation center full of solution provider IP—along with his bold strategy to align AWS’ internal sales teams with the channel more than ever before.
With Garman saying he views partners now as “co-inventors with us,” many of the largest solution providers in the world are placing big bets on the Seattle-based company.
Global IT powerhouse Presidio believes Garman will elevate channel sales to the next level thanks to his partnering mindset and being “one of the most technological CEOs” in the industry, said Chris Cagnazzi, chief innovation officer at New York-based Presidio. For example, one top channel priority for Garman this year is driving partner sales via the AWS Marketplace, which generated $400 million in revenue for Presidio in 2024.
“Because of Matt’s diverse background and how he’s grown within AWS—and the fact that he understands technology and he understands the challenges around driving outcomes—it’s a huge benefit for AWS and for partners because of the diversity of his viewpoint,” said Cagnazzi. “He can look at a lot of different areas within the business to really say, ‘This is working well. This isn’t working well’ and understand how that impacts the partner.”
From Garman’s roots as an intern working underneath AWS founder and former CEO Andy Jassy in 2005 to climbing the ranks to become senior vice president of sales, marketing and global services, AWS partners believe Garman brings a clear understanding of what customers need and how the push for a partner-centric future will drive success.
“He didn’t just start from the bottom, but he’s gotten his hand dirty working directly with customers,” said Justin Copie, CEO of West Henrietta, N.Y.-based Innovative Solutions.
Copie touts Garman’s channel charge as one of the main reasons why Innovative Solutions has seen a 240 percent spike in AWS sales in 2024 year over year. One key growth driver, Copie said, was a 50 percent increase this year in the number of new customer opportunities that AWS referred to his company.
“[We see] the approach he’s taken already with some of the program rollouts, the big bet that AWS is making around GenAI, and the fact that he sees a vision for AWS to not only be customer-centric but he sees it equally in value that AWS needs to be partner-centric. And not every hyperscaler thinks that way,” Copie said.
Garman said a partner-centric strategy is the only way AWS can truly scale on a worldwide basis, particularly in the AI era.
“Generative AI is going to reshape almost every single industry and every single business,” Garman said. “As we continue to expand globally, we lean more and more on our global and regional channel partners to help us because they’re the ones that oftentimes know the customers best.”

Pushing Partners, AWS Sales Force ‘Closer Together’

Garman has a visionary plan for the channel, and it starts with aligning AWS’ internal sales teams with partners unlike ever before.
Chris Sullivan, AWS’ Americas channel chief, is a driving force behind Garman’s plan.
“In the past, we had great collaboration, but more [like] two strategies than one. It’s an example of Matt’s leadership, where the organizational structure—as well as the way we go to market, the way we plan, the way we enable and drive our business with partners—has moved even closer together,” said Sullivan, vice president of Americas channel and alliances.
As AWS evolves under Garman, Sullivan said, “the role that partners play has become more and more essential” to both AWS and customers.
“We’ve made moves internally to ensure that how we plan and support and drive our go-to-market actions are as inclusive as possible to partners,” Sullivan said. “If you think about our technology strategy and our generative AI strategy, partners are at the core of that strategy. … So partners are now woven into the fabric of everything we do very intentionally, and we couldn’t be more excited about that.”

Making Strategic Partner Investments

Not only is Garman weaving partners into the fabric of AWS, he’s investing large amounts of money into many channel partners by signing Strategic Collaboration Agreements (SCAs).
These deals see AWS pouring tons of money into providing technical resources, go-to-market and proof-of-concept funding, the hiring of new employees, and much more. SCAs are basically a huge shot in the arm for partners to elevate their AWS business to the next level as quickly as possible.
For example, Presidio’s SCA aims to increase its head count and co-innovation with AWS around GenAI. “There are probably 80 people that will get hired, specifically between AWS and Presidio, to focus on reaching the targets we want to get jointly together,” Cagnazzi said. “This is industry-focused, and it’s generative-AI-focused. … We’re developing a lot of really unique things around innovation with AWS right now, especially around generative AI.”
Another channel charge Garman is helping to drive includes the recent launch of the AWS Business Outcomes Xcelerator (BOX) program, which helps partners develop and deliver solutions that meet the demands of line-of-business buyers.
In addition, Garman has revamped AWS’ highly popular Migration Acceleration Program (MAP). The cloud migration program provides partners with various financial incentives and joint go-to-market resources to make customer migration to the AWS cloud as cost-efficient as possible.
AWS partner Mission Cloud said AWS is co-funding the cost of migrating customer workloads to the cloud via MAP, which is boosting profitability and helping the Los Angeles-based company capture net-new customers.
“Prospects know that not only will some of the cost of us doing the migration for them effectively be funded by AWS, but then once the migration is [complete], there will also be a discount that will be applied for a period of time to the consumption of AWS,” said Mission Cloud CEO Simon Anderson. “The combination of those two things really drives a lot of velocity in decisions to do migrations.”
Leveraging MAP and other AWS partner programs has led to millions of dollars in sales and profitable ongoing support services for Mission Cloud.
“There are a lot of AWS financial levers we can pull to really help customers at any stage, whether that’s through instant discounts on their spend when they first join us because we can start optimizing their environment all the way through to when they’re making a big forward commitment through an Enterprise Discount Program [EDP], which is partner-led,” Anderson said.
“The classic journey of a Mission Cloud-type customer is they start with us spending $20,000 to $40,000 per month. Then they scale up into the hundreds of thousands of dollars, and sometimes the millions of dollars a month.”
Over the past several years, AWS sales for Mission Cloud have grown by 10X with “strong double-digit growth” year over year expected in 2024.
“The partnering aspect of AWS right now is second to none,” said Anderson. “Because of things like MAP and our SCA with AWS, we’re able to scale our sales and marketing team more quickly than we’d otherwise be able to because of the support coming from AWS and Matt right now.”
Garman’s Software Services Push To Drive Profitability
Garman believes software services are what partners should be offering if they want to be highly profitable in 2025 and beyond.
With so much co-innovation and co-selling happening at AWS today, Garman sees the lines between channel partners—particularly systems integrators—and ISVs “are blurring.”
“We are definitely seeing some convergence there, where the SIs are seeing themselves as delivering cloud services to customers as well,” said Garman. “If they can build software solutions, which we’re increasingly seeing them do, they can actually then charge much higher margins and get leverage on those customers where they can sell a software solution in addition to implementation.”
Garman is telling the AWS field sellers to lean into partner software and service offerings as much as possible. “I’m talking to the field about how we jointly go after opportunities with partners together. We’re going to be leaning into partner-driven workloads as much as we can,” he said.
Mission Cloud, for its part, created its Mission Control Platform, which simplifies the entire AWS customer experience around cloud optimization, workflows and professional services.
“We’re now a software partner to AWS as well,” Mission Cloud’s CEO said. “That has really enabled us to get even more deeply into the AWS Marketplace and drive opportunities for ourselves.”

Key Master Services Agreements, Sub Services For Partners

Garman’s channel strategy also involves providing partners with new services opportunities via Master Services Agreements (MSAs) that enable AWS teams to contract out services to a partner.
AWS opened the services floodgates for AWS consulting partner Redapt after the Woodinville, Wash.-based company signed an MSA that included the ability for Redapt to provide sub services underneath the umbrella of AWS professional services.
“Our MSA allows us to now sub for [AWS] services and for their customers too,” said Redapt’s Paul Shaffer, executive vice president of business development and partner programs. “Our MSA is important because then the AWS sales organization knows that we can actually do their services on their paper.”
AWS’ Sullivan said the cloud provider’s professional services team handing over services sales to partners is an important strategy. “It allows partners to participate more in the services opportunity with our customers, and it allows AWS to bring some additional business to those partners to ensure that there’s a strong solution for the customer at the end of the day,” he said.
Shaffer said Redapt is generating AWS sub services revenue around advanced analytics, AI, cloud migration, DevOps and machine learning.
The MSA is driving so much momentum for Redapt that the solution provider is potentially eyeing an acquisition of a boutique AWS-focused partner. “We’re interested in that because we want that engineering talent that can come in and build off of our services practice areas around a partner like an AWS,” Shaffer said.
AWS Marketplace: ‘A Super Important Lever’
One major channel initiative where Garman plans to drive software services revenue and new customer wins for partners is via the AWS Marketplace.
“It’s a super important lever for us,” said Garman. “The Marketplace is enabling systems integrators to go sell their solutions to end customers and get all of those benefits that the ISVs are getting with regard to faster billing, easier invoicing, it allows partners to get paid more quickly and consolidates software solutions into the customer’s bill.”
Over the past year, AWS has enhanced its one-stop-shop cloud marketplace to make it easier and more profitable for partners to sell, such as “significantly lowering the fees” associated with partner-originated deals inside the Marketplace, Garman said.
One key reason why Marketplace is so popular is the ability for AWS customers to use cloud credits and use their EDP commitments to purchase channel partner professional services and offerings listed there.
“That’s a very powerful channel for us. We get about 25 percent of our net-new logos now from the AWS Marketplace,” said Mission Cloud’s Anderson.
For Presidio, capturing over $400 million through the Marketplace this year shows just how hungry customers are for channel partner offerings.
“Think of the Marketplace as this platform that we can now help them cost-optimize around their consumption and the services that they’re buying because we’re driving more software licensing and even specific types of managed services or service offerings through the Marketplace that help them retire quota,” said Cagnazzi. “It’s a great channel to be able to complete a customers’ full software life cycle, but do it in a way where you’re also helping them on their goals.”
Garman’s bullish push on Marketplace is also seeing AWS working hand-in-hand with partners to build and sell joint AI solutions on the marketplace.

Garman’s AI Strategy With Partners

AWS is putting its money where its mouth is in terms of driving GenAI via channel partners. The company invested $100 million last year to open its AWS Generative AI Innovation Center with the goal of driving joint AI advancements with partners as well as accelerating GenAI customer adoption.
“We’re now opening that up to deliberately incorporate partners, their value proposition and their capabilities into the Generative AI Innovation Center, and then help partners drive those outcomes with customers,” said Sullivan. “We’re leveraging all of the best practices we’re learning around how to deliver the most effective proofs of concept, how to move from a POC to a production environment for specific workloads, strategic considerations around security compliance and how we deliver outcomes leveraging these technologies—we need partners in the core of that. That’s another example of our services organization incorporating and aligning with partners to deliver for customers.”
AWS’ innovation center is stuffed full of partner technology and solutions. “As we get closer and closer to our partners, we’re at the point where we’re creating IP together at a very high rate in support of customer outcomes,” Sullivan said.
Garman said AWS’ AI road map is to build open platforms that integrate with third-party technologies on which partners can build their own AI offerings. However, to fully reap all the benefits of AI, a customer’s data estate needs to be in order so AI can do its magic. Garman and partners believe this is a massive sales opportunity for the channel.
AI “opens up the aperture [through] which companies are actually going to consider doing big migrations from legacy workloads—whether they’re legacy databases, legacy operating systems, legacy mainframes—into a more modernized workflow,” Garman said. “Partners are going to be able to win many of those workloads and help customers go much faster because the ROI math just works better.”
AWS partner InterVision Systems is winning large deals by migrating customers with vast amounts of unstructured data to the cloud as part of their AI journey. Santa Clara, Calif.-based InterVision is leveraging Amazon Bedrock, Amazon Connect and Amazon SageMaker to make all this possible.
“If you think about all the data that all our customers have inside their buildings, pretty much every answer to every question is somewhere hidden in documentation or in their data,” said Jonathan Lerner, president and CEO of InterVision.
“So we started with a data ingestion engine that we’re taking petabytes of unstructured information into and framing it up into a manageable set of information,” Lerner said. “Then from there, we’re tuning it and tuning it to get to the outcome that the clients need.”
For example, InterVision developed its own Contact-Center-as-a-Service offering, ConnectIV CX, powered by Amazon Connect and augmented with AI to include real-time data management and automation.
“We’re replacing 20- to 30-year-old antiquated, premises-based solutions every day,” said Lerner. “And we’re managing some of the most complex Amazon Connect deployments on the planet right now.”
InterVision said AWS sales “are exploding,” with several AWS markets increasing by “triple digits” over the past three years.
“We view AWS as the best builders on the planet,” said Lerner. “Partners are closest to the customer, and together, that is scale.”

GenAI Platform Strategy Aimed At Partners

To win the AI market-share battle, Garman is building an open GenAI portfolio that lets customers easily build their own GenAI applications on top of it.
“That means, ‘How do we have the broadest set of models—not just a model—but the broadest set of models?’ Some of them are built by us, many of them are built by other companies out there,” Garman said. “So we built this platform in Bedrock and in SageMaker and a bunch of the capabilities that we have inside AWS—including our own custom silicon—as a low-cost model so that customers have the very best in performance and capability.”
Amazon Bedrock enables partners to create AI agents and finetune foundation models for customers, with large language models (LLMs) available from Amazon and third parties like Anthropic, Meta, AI21 Labs, Cohere, Mistral AI and Stability AI.
“We have that platform that really makes it possible for partners to then go build added capabilities on top of that,” Garman said. “We want to enable that broader partner ecosystem to go innovate around us and enhance what we’ve built.”
Mission Cloud is working on “hundreds” of AI solutions that leverage the AWS AI portfolio to help build GenAI applications for customers. Use cases include creating an AI system for improving a company’s entire hiring and job interviewing process, as well as building a GenAI system for a media and entertainment company to translate its libraries of English-speaking documentaries into various languages at lightning speed.
“It was cost-prohibitive to them to do that through traditional translation and dubbing, so we built a whole generative AI system for them. They’ve leveraged a lot of AWS services: Polly, Transcribe, SageMaker, Bedrock and so on,” said Mission Cloud’s Anderson.
In conjunction with AWS, Mission Cloud launched its Mission AI Foundation managed services offering that leverages its cloud services platform along with Amazon QuickSight and Amazon Q to provide detailed cost visualization and management tools for customers.
“Once a customer gets to AWS, they need all sorts of specialized help that’s continuous,” said Anderson. “So with prompt engineering, sustainability, helping them with token usage, helping them with cost optimization around the GenAI workload, etc., AI Foundation is our own, effectively, managed service that delivers all of that and expertise 24×7 for customers.”

AWS ‘Opened The Door For Choice’ For The Channel

AWS’ AI strategy “opened the door for choice” when it comes to GenAI, said Innovative Solutions’ Copie. This strategy enabled the solution provider’s GenAI business to grow an unprecedented 1,900 percent in 2024.
“They didn’t come out with a set of services and say, ‘Well, if you do this, you’re now locked into AWS.’ They actually took the opposite approach. They said, ‘Listen, we put something out there called Bedrock, which is like a garden of LLM models. Customers, you choose the model or models that you want to use. And by the way, if you need third-party tools for things like cost optimization or security, you can bolt those things on together. You don’t have to use native products or services from AWS to do that,’” said Copie. “That fundamentally has accelerated so many customers that we’ve worked with in the space because they want choice.”
Innovative Solutions and AWS have worked on dozens of successful GenAI implementations this year. One that stands out is with health-care technology startup Healthmetryx, which needed to build an IoT device to facilitate early detection and prevention of diseases.
“Basically, you blow and breathe into the Healthmetryx device called Clarinet, and based on a number of machine learning models and a ton of GenAI that’s built into the solution that we’ve helped build, they can do early detection of respiratory illness, infection or disease,” said Copie.
Innovative Solutions built the software on Amazon Bedrock and IBM watsonx Assistant technology and implemented AI technology that now manages all of the data for Healthmetryx.
“You can think of us as really the IT arm for their entire business. They’re stacked with physicians and these Ph.D.s, very smart individuals that understand medicine. What they didn’t have was a really strong technical team to help them and be by their side,” said Copie.
“It’s remarkable because it’s the type of device that not only can save lives but will capture so much data that they’re able to do clinical research with,” he said. “Maybe a new drug can be developed because they have the data accessible now through this IoT device that has very real AWS technology at play.”
Copie touted AWS’ new CEO as the leader who is driving joint AI innovation as well as new customer wins for Innovative Solutions.
“Matt, I believe, single-handedly led to not only the growth of our business this year, but certainly the ecosystem in general,” said Copie.
Garman said he’s approaching AI “with a partner-centric mindset” and with the goal of forming long-lasting channel partnerships.
“We don’t think about, ‘We’re going to partner with you until we replace you.’ We’re thinking about, ‘How do we partner together for the long term, to go work together and grow this business together?’” said Garman. “So when you have that mentality, a lot of things land in the right place.”
For its third quarter of 2024, AWS increased sales 19 percent year over year to $27.5 billion. AWS’ annual run rate is now $110 billion, and the company currently has a leading 31 percent share of the global cloud computing market.

Lessons From Andy Jassy

When Garman decided on AWS for his internship in the summer of 2005, he was wildly interested in working under founder Jassy.
Garman said Jassy has been a “big help in encouraging me to always just think bigger” about what AWS can accomplish.
“One of the things that Andy pushes onto us, within our teams, is to have what seems like unreasonable expectations for what we can accomplish. Because when you have those unreasonable expectations for your teams, a lot of times they actually get very creative and figure out how to actually go accomplish what seemed like something that was impossible that you asked them to do,” said Garman. “And that’s how AWS comes out with incredible innovations and things that surprised the world, and moves at a faster pace than you might otherwise think possible.”
Garman is setting up the chess pieces so that in 2025, partners will be in position to deliver on the company’s AI hopes and overall future.
“If you look at the massive adoption of enterprises where a bunch of these workloads are still running on-premises, or a bunch of AI workloads are going to be integrating themselves into a lot of these legacy industry environments—those are all going to run on the cloud. They’re not going to run on-premises,” said Garman. “So there’s a massive opportunity for all these channel partners to help that meaty middle of the adoption curve of enterprises around the world to move to the cloud. I really believe that we’re just at the early stages of what this business could be—both for us and for our partners.”

Why are partners choosing AWS vs. Microsoft and Google Cloud

Talks with AWS CEO Matt Garman crn That’s why he believes solution providers are placing their cloud and AI bets on AWS over rivals Microsoft and Google Cloud.

CEO Matt Garman He believes Amazon Web Services is winning channel partner mindshare through its cybersecurity posture, generative AI strategy and the opportunity to reach more customers globally than rivals. Microsoft And Google Cloud.
“From the partner’s perspective, they don’t want to deal with poor security or they don’t want to deal with poor operational excellence because it will look bad and it will reflect poorly on them,” Garman said. An interview with CRN.
Garman took the reins of AWS last June. He led the Seattle-based cloud computing unit’s generative AI and overall AI market situation To new heights.
“But GenAI On the front end, if you look at the difference in approaches, some of the other competitors started with their consumer applications first. And then, how do they add generative AI into their cloud products? AWS CEO Said. “We instead said, ‘How can we build a platform on top of which customers can build generic AI applications?’ And that means, ‘How do we have the most comprehensive set of models – not just one model – but the most comprehensive set of models?’
[Related: Microsoft Vs. AWS Vs. Google Cloud Earnings Q3 2024 Face-Off]

AWS Cloud Market Share and $110 Billion Run Rate

For its most recent third quarter 2024, AWS reported record revenue of $27.5 billion, representing 19 percent sales growth year over year. This means that AWS now has an annual run rate of $110 billion.
AWS has been the dominant global cloud computing market share leader for years. Currently, Amazon has 31 percent share of the worldwide enterprise cloud infrastructure services market, followed by Microsoft with 20 percent share and Google Cloud with 12 percent share.
In an interview with CRN, Garman explained why channel partner Rivals are placing their AI and cloud computing bets on AWS compared to Microsoft and google cloud,

Why should partners choose AWS over Microsoft and Google Cloud in the AI ​​era? What is AWS differentiation?
We approach everything with a partner-centric mindset. Our top priority when we go to a customer is, ‘How do we make sure they have good security? And how do we ensure we have operational excellence?’
From the partner’s perspective, they don’t want to deal with poor security or they don’t want to deal with poor operational excellence because it will look bad and it reflects poorly on them. They want to be partnered with someone who actually prioritizes those things.
And this is actually independent of GenAI or not. So one of the main reasons that we see people leaning towards us is because they know that it’s an infrastructure and a security posture that they can trust. If you look at the news out there, that’s not necessarily true for everyone, but it’s something we’re very proud of and we continue to invest heavily in.

What about AWS’s GenAI differentiation compared to Microsoft and Google?
On the GenAI front, if you look at the difference in approaches, some of the other competitors started with their consumer applications first. And then, how do they add generative AI into their cloud products?
We instead said, ‘How do we build a platform on top of which customers can build generic AI applications?’ And that means, ‘How do we have the most comprehensive set of models – not just one model – but the most comprehensive set of models?’
Some of them are made by us, many of them are made by other companies. We also think about the partner and ISV ecosystem to see how we ensure companies can build with the best tools and capabilities available in the market today. We have a platform that really makes it possible for partners to build additional capabilities on top of that.
So when you go to talk to someone like Accenture, they are building on top of Bedrock and building things like security frameworks around Bedrock. Because we give them all the tools and capabilities to easily plug in and build secure AI frameworks around all the tools we give them. We want to enable that broader partner ecosystem to innovate around us and enhance what we’ve built.

Is AWS the most profitable cloud company for a channel partner? How do your programs and margins stack up against Google Cloud and Microsoft?
I can’t talk to other people. But the opportunity for them to build the biggest business is biggest in AWS.
We try to create a program so that there is a fair margin for the partners, but a really big collaboration. So we build the program so that it is a sustainable long-term business for our partners. But we also know that, at the end of the day, it’s the added value it provides to customers that really makes a difference. So this is where we also differentiate.
It’s the breadth of customers who are building the ability to build value-added services on top of AWS, both for the platform and for partners. So these are all those things. It’s not just purely numbers – ‘How much margin do you get on resale?’ Ours is good. We try to make sure it’s highly competitive and important, but it also takes into account all those other things.
Frankly, if partners aren’t adding value – if they’re solely reselling – then they can compete on numbers, and that’s okay. But we’re really focused on where partners can add value and how we can create a great ecosystem for them to do that on top of that. That’s where the end customers really get the value, where it’s not just a pure route of resale, but it’s value-added resale. It is the value added consulting services on top of that and the work on top of that that really makes the difference.
From that perspective, AWS has the largest group of customers ever. We have the largest set of services ever that make it easier to sell those workloads to customers, and the largest global reach ever, operating in different countries around the world.

5 Palo Alto Networks Executives Share Partner Opportunity In XSIAM, Prisma

‘As the scale of these transformations has increased, the SIs, the community and the partners have become even more important,’ Palo Alto Networks Chief Product Officer Lee Klarich tells CRN.

Palo Alto Networks CEO Nikesh Arora is setting the tone on the importance of solution providers for the security platform vendor’s go-to-market, with executives across the vendor’s product portfolio looking to grow the partner opportunity.
CRN recently spoke with top Palo Alto Networks executives during a press-and-analyst event at the vendor’s Santa Clara, Calif., headquarters, all of whom echoed Arora’s view that solution providers help achieve positive outcomes with customers and that, to be an effective channel partner today, one needs to robust advisory and consulting practices.
System integrator partners, in one example, are “able to help take a large enterprise through a platformization project,” Palo Alto Networks Chief Product Officer Lee Klarich (pictured) told CRN. “These are bigger projects. They’re more multi-faceted in nature. They have more of a consultative aspect to them. As the scale of these transformations has increased, the SIs, the community and the partners have become even more important in terms of how we help our customers go through this and give them the resources and expertise to supplement their own capabilities on a global basis.”
[RELATED: Palo Alto Networks CEO Arora: ‘The Role Of VARs Is Changing’]

Palo Alto Networks Partners

Palo Alto Networks has about 15,000 channel partners worldwide, according to CRN’s 2024 Channel Chiefs.
In another example of the importance of Palo Alto Networks partners, Amol Mathur, the vendor’s senior vice president and general manager for its cloud security platform Prisma Cloud, told CRN that cloud usage growth and growing adoption of artificial intelligence (AI) have given customers more assets that need securing.
“If I have a big cloud footprint, that’s where all the attackers are now pivoting to essentially with ransomware and so on,” Mathur said. “So in terms of demand, it’s off the charts.”
Here is a look at where five top Palo Alto Networks executives see the business opportunity for the vendor’s partner ecosystem.

The Power Of Partners In Platformization

Lee Klarich
Chief Product Officer
What I would call out is, in particular, the value of the larger, more system integrator scale partners, where they’re able to help take a large enterprise through a platformization project.
These are bigger projects. They’re more multi-faceted in nature. They have more of a consultative aspect to them. As the scale of these transformations has increased, the SIs, the community and the partners have become even more important in terms of how we help our customers go through this and give them the resources and expertise to supplement their own capabilities on a global basis.
There are some partners that can scale worldwide. But in many cases, there are specialists across different parts of EMEA (Europe, the Middle East and Africa). Even regionalization within EMEA. And Asia is sort of the same way. We have spent a lot of energy building out that broader ecosystem of partners to help with their customers. I’ll call that the transformation category.
Then there’s the category of, OK, even once that’s done, do you have all the expertise needed to then run and operate it? And so that’s more of the MSSP category that sits on top of it. We’ve been, at least from my perspective, starting to do a better job of making sure that we’re strategically aligned with our partners in that category.
Take XSIAM (extended security intelligence and automation management) as an example. It enables the SOC (security operations center) to be run very differently. And so it’s important that as we approach our MSSP partners relative to managed SOC services that they’ve strategically aligned with our approach.
It doesn’t really work super well to take a managed SOC service designed for legacy technology, put them on top of XSIAM, and take that to a customer. Customer gets confused. … In a way, we’ve sort of gotten picky as to who best aligns with how our products work and therefore adds the most value when running on top of and/or integrated with our products.
(As for future product iteration, we’re) starting to get more prescriptive around–what does ‘great’ look like. What do we believe a really good security architecture looks like? What is a really good security outcome? And then how do we align everything we do toward those outcomes, whether it is what we as Palo Alto Networks do or our partners, managed service provider partners and everyone else, are they aligned with helping our customers achieve those outcomes as well?
Obviously with customization and other things like that. But it’s basically getting more opinionated on what a good outcome is and how to accomplish it, as opposed to saying, ‘Yeah, you can do whatever you want to.’ Technically they can. But in most cases, our customers actually want us to help them on how to achieve the right outcome and how to solve some of these problems that maybe they’ve been stuck on for quite awhile.

The AI Security Opportunity

Amol Mathur
SVP, GM, Prisma Cloud
We work with a lot of GSIs. We have a lot of partners who resell, who service a whole suite of products–not just cloud, but our soft products as well and so on.
When you look at cloud security, specifically, a number of stats will tell you the growth has been phenomenal of the underlying consumption. The pandemic hyper accelerated it. And now, with AI largely being available only in public cloud with GPUs (graphics processing units), even people who are not very cloud forward, they are moving faster than they would have because if they want to experiment and do something it’s always in the cloud.
So we are seeing a tremendous amount of need for security–everything from foundational cloud posture all the way to understanding in deep what data and AI assets are being used, all the way to ‘give me runtime threat prevention, detection and response capabilities.’
Because if I have a big cloud footprint, that’s where all the attackers are now pivoting to essentially with ransomware and so on. So in terms of demand, it’s off the charts. In terms of just the market growth.
The second thing is that, while cloud security (has) been around for five, six years, it’s still a market where a lot of customers don’t have the maturity. And when I say maturity, I mean everything from getting a cloud security program up and running and operational all the way to … monitoring, triaging attacks, helping with remediation at scale, putting architectures where you’re trying to prevent as many things and do secure by design and so on.
So there’s a lot of opportunity for experts to come in and advise customers on how to do this. … That’s a big trend that we are seeing, that there’s just not enough skill set. And a lot of the constructs that people use in cloud, they are very different.
When we think of, in the enterprise world, single-sign-on user identities–in the cloud world, there is a huge portion of non-user machine identities.
And how they get assumed and exploited and abused to gain access and breaches happen–that expertise needed is quite different. That’s where organizations that know how to do this can provide everything from basic deployment services, ongoing fine-tuning, all the way to fully managed cloud SOC, cloud posture, vulnerability management, et cetera.
Data and AI is a big area for us (looking ahead for product innovation). We have released solutions for data security posture management, AI security posture management. And with AI security posture management, related to that, very complimentary to that, our peers in the network security team have released AI access security and AI runtime security.
In most cases, even the companies don’t know how the data is being used by the AI model, because it’s kind of a black box.
(Another area is remediation at scale.) You need a strategy using AI to be able to remediate those issues in fewer steps. If you just go one by one, from top to bottom, you’ll never be able to resolve your issues.

The SASE And Prisma Access Opportunity

Anand Oswal
SVP, GM, Network Security
We’re seeing great activity from them (MSSPs) on all things SASE. We’re seeing great activity on GSIs (global system integrators) wanting to sell a unified SASE.
The GSIs, MSPs, MSSPs, all of them (are choosing Palo Alto Networks) because it allows them to differentiate their offerings. Networking is really coming together.
You think about just remote access, for the most part–(when) companies allow any remote access solution, Prisma Access or somebody else … they’re actually outsourcing a network because you’re no longer running a network like you did in the old days.
Some providers will use the cloud like we use–combination of different cloud providers for redundancy. Some will build their own through Equinix and leasing through things at scale.
Then you want to have combined visibility across networking and security and common logic to identify applications on your SD-WAN device and your Prisma Access device and be allowed to then add more services on top–like visibility from user applications. … The value add for the GSIs, MSSPs, MSPs is when you can unify. It also differentiates them.

Transforming The SOC With XSIAM

Scott Simkin
VP, Marketing, Next-Generation Security
(I think about) how am I going to provide an amazing platform, a set of products that we can give to a partner to deploy, operate, manage, and run 24 by seven on behalf of their customers.
The days of a VAR pushing paper, that’s not how you’re going to differentiate yourself. You have to build in value-added services.
When I’m talking to our partners in the big consulting firms, one of the things they always say is, ‘Every single company is asking the question of how do I transform my SOC?’ And that question is predicated on a few different things. The customer is sitting there going, ‘I have a mess of technology. I have far too much data and alerts than I can possibly deal with. And of course, I don’t have enough people. I need a better path.’
And when they look at everything, they need a third-party, trusted partner who says, ‘I can look at your environment. I can understand your challenges. I can understand your needs. And I can help you get from point A to B for transforming your SOC.’
They help them modernize and standardize on XSIAM so not only are they deploying a few different things. How do we stop the most possible–get to as close to 99.9999 percent–of attacks as possible? Then we say, ‘How do we prioritize the small few that get through with AI and analytics?’
And how do we give them full context, full visibility, understanding of what is occurring so they can paint the picture in their own SOC of what occurred–connecting the dots, so to speak–and then take an action. So when you talk to an MSSP or GSI, they’re doing all the hard work of architecting, designing and maybe even through deployment. But our play and a win-win for us–the customer and the GSI–is having the best AI-driven platform in the market.
How do we help build out the right systems, the right processes, and help them build their business on top of XSIAM? Partners out there are making more money, signing bigger deals and helping customers do significant transformations with XSIAM than a legacy SIEM could possibly get them in business.
Nearly every single customer we talk to and they will talk to is using a legacy SIEM. Whether it’s anyone who’s been around for 10, 15, 20 years. So the market is ripe for disruption. And what I want all the partners to think about is, hey, they can work with a best-in-class platform. They can work with a partner that they know is channel-led–unlike some of our competitors, who like to take things, perhaps, direct and not give them an at bat, which hurts their business, ultimately, at the end of the day.
And how do we deliver something that is truly, truly transformative? I was just talking to a customer … what they told me is, we’re in a situation where it is untenable for us in our security team. It’s untenable because the risk of a breach is so high, because of that underpinning of where’s the data coming from, what’s the system it’s going into? And then how do I throw dozens and dozens of people at a tool that ultimately doesn’t get them to an outcome that they want, which is, stop the adversary? Then I showed them XSIAM. … The second you show them a demo, their eyes light up.
Seeing is believing for XSIAM. And any customer who sees it, who has experience with a legacy SIEM, a first generation EDR or the other tools that sit within that SOC, they will absolutely fall in love. And it will be an outcome that they can count on.

The Cortex Opportunity

Elad Koren
VP, Products, Cortex
We’ve seen a lot of traction from partners. (Cortex, Palo Alto Networks’ XDR product) is something that is constantly getting improved, and we are seeing the motion with what they can do with the system, because of its flexibility, the scalability of the system–it’s huge.
We launched earlier this year the MSSP set of capabilities. And this was a result of the fact that a lot of the partners were asking for something like that so that they can actually operate based on that.
And we do see this being taken to the market with great results so far. So very exciting.

KubeCon spotlight: 10 big open-source advancements

DiaGrid, Traffic Labs, NetApp, and Red Hat are among the companies that made a big splash at the KubeCon event.

A conversation API to improve artificial intelligence application development. An API sandbox-as-a-service. and a model registry capability in OpenShift AI 2.15.
These offerings from DiaGrid, Traffic Labs, and Red Hat are among the biggest open-source advancements to come out of the KubeCon + CloudNativeCon North America 2024 event for open-source and cloud developers, architects, engineers, and vendors. The event was held in Salt Lake City this year.
During a keynote session at KubeCon, Lachlan Evenson, lead program manager for Microsoft’s open-source strategy and upstream contributions to cloud-native projects, said the Kubernetes community needs to continue improving security, simplicity, and future-proofing.
“We have tightened security at the last level,” he said. “I see it in a much better place, but there is still a need to get better security controls in place and prioritize it. So I see a lot of work in that area. Excited about how this is progressing.”
[RELATED: The 10 Coolest Open-Source Software Tools Of 2024]

KubeCon + CloudNativeCon North America 2024

As for the complexity of Kubernetes, Evenson said that “over the last 10 years of building this thing we’ve built something really complex and the rise of things like platform engineering and Observability 2.0 … people are building their own cloud-native estates and workloads.” We’re deploying this platform. But we don’t want the complexity to grow at the same rate as our workload. Which is what we really need to pay attention to.
Kubernetes’ adaptability to support new workloads “will be critical in the future” to running developer platforms and WebAssembly.
Here are some of the biggest open-source developments from KubeCon + CloudNativeCon North America 2024.

red hat

red hat came out with force During KubeCon 2024, OpenShift unveiled a number of innovations across its portfolio, including improved capabilities around virtualization, more model training support in OpenShift AI, improved capabilities for lower latency in edge devices, and new AI templates in the Developer Hub.
The Raleigh, NC-based IBM subsidiary revealed the general availability of OpenShift 4.17. According to Red Hat, this version improves safe memory oversubscription for virtual machines and gives users a technical preview of storage live migration between devices and classes while the VM is running.
Red Hat OpenShift AI 2.15 is headed to general availability. The offering supports model development, training, service, automation, and other predictive and productive AI use cases. Part of the updates include a technical preview of a model registry to manage versions, metadata and model artifacts, and tools to detect data drift and bias.
Version 4.17 of Red Hat’s Device Edge includes new low latency and near real-time capabilities to appeal to use cases ranging from autonomous vehicles to industrial settings.
And Red Hat created five new templates focused on common AI use cases available in its Developer Hub offering: audio-to-text, chatbot, code generation, object detection, and a retrieval augmented generation (RAG) chatbot.
During CubeCon, Red Hat also revealed that it has signed a deal to purchase Neural Magic, a Somerville, Mass.-based startup that provides software and algorithms for generative AI inference workloads.

NetApp

During KubeCon, NetApp revealed that it has expanded its collaboration with Red Hat for new products and services around enterprise application development and management in virtual environments.
The San Jose, California-based data infrastructure vendor’s deepening partnership with Red Hat now means new validated designs for Red Hat OpenShift virtualization and Red Hat OpenShift AI deployments and migration of Red Hat OpenShift workloads on the Cisco FlexPod convergence infrastructure offering. There is a supported method. Benefit from Google Cloud and NetApp OnTap intelligent data infrastructure capabilities.
The deep partnership now allows Red Hat OpenShift operations teams and DevOps teams to pull OnTap functionality into existing workflows while leveraging all-flash storage to maintain persistence when virtual machines or containers are created, modified or deleted.

new relic

New Relic generally provided a one-step overview of Kubernetes’ offerings at KubeCon.
The San Francisco-based application performance monitoring vendor sees the new capability as important for monitoring and managing dynamic Kubernetes environments. It has robust insights and out-of-the-box dashboards and visuals that aim to accelerate incident resolution and improve developer productivity.
The capability also has native support for OpenTelemetry and Prometheus.

Grafana Labs

Leading the development of Kubernetes monitoring helm charts – an open-source tool for collecting comprehensive telemetry data from Kubernetes clusters – and a suite of contextual root cause analysis workflows in the Grafana cloud, some of the advancements highlighted by Grafana Labs during the event Are.
The New York-based operational data visualization tool vendor also promoted its new open-source code that allows users to translate Datadog metric formats into the native OpenTelemetry protocol format.
According to Grafana, the vendor is also expanding its Explore Metrics no-code experience to automatically handle OpenTelemetry metrics.

Mirantis

Mirantis unveiled its Mirantis Kubernetes Engine (MKE) 4 offering for powering secure clusters and hosting mission-critical workloads.
The Campbell, California-based vendor of open-source infrastructure for containers and VMs said more than 300,000 nodes of MKE have been deployed in production. According to Mirantis, this new offering features automated life-cycle management and configurations that Kubernetes operators can correct to prevent drift.
MKE 4 has Kubevirt for integration of container and VM workloads and valid templates for customizing the stack while swapping in alternative components if desired.

tigara

Project Calico creator Tigra unveiled new Kubernetes policies and policy layers that provide granular control over policy prioritization as part of a wave of innovations for container users.
The San Francisco-based container networking and security appliance vendor said it has expanded Calico Networks Security to work beyond Kubernetes to VMs and hosts outside the cluster and enhanced its network-based threat detection to improve accuracy. Is.
The vendor also introduced an Exploit Prediction scoring system and other metadata, as well as information about known exploits, to estimate the likelihood that a software vulnerability will be exploited in the wild.

sysdig

Sysdig launched Falco Feeds, a set of Falco detections, during KubeCon 2024.
According to Sysdig, the San Francisco-based cloud security vendor says the new offering gives users rules that keep updating as new threats are discovered, with updates available for Log4j and other common vulnerabilities and exposures.
Detection should inform users about an attacker’s evolving behavior and sophisticated techniques that can exploit even small vulnerabilities in new ways. The rules are categorized by regulatory and security compliance framework. According to Sysdig, Falco has over 130 million downloads.

Traffic Labs

API Sandbox-as-a-Service offering and Traffic Proxy v3.2 were major news items from Traffic Labs at CubeCon 2024.
The San Francisco-based API management vendor touts the Sandbox-as-a-Service offering as key to API design and development, while the proxy is one of five offerings that support the latest GatewayAPI 1.2 specifications.
Mock APIs should allow improvement of APIOps practices. Depending on traffic, sandbox offerings can be deployed as SaaS or on-premises.

armo

Armo and global systems integrator Orange Business have entered into a new collaboration around Orange leveraging the vendor’s runtime-driven cloud security platform to secure its managed Kubernetes service infrastructure, with Orange also becoming a reseller of Armo .
The Israel-based cloud security platform company offers its platform with on-premises and air-gapped Kubernetes and runtime security while meeting data sovereignty and regulatory compliance requirements.
Armo created and maintains the Kubescape open-source Kubernetes security project and describes its platform as capable of providing better risk context when responding to cyberattacks.

diagrid

During KubeCon 2024, Diagrid said that version 1.15 of its Dapr project, scheduled for download availability in December, will allow developers to quickly build AI-enhanced applications powered by optimized large language models (LLMs).
The Seattle-based microservices API vendor said Dapper’s Conversational API should simplify how developers interact with LLM and enable critical security and reliability functions such as speedy caching, personally identifiable information data obfuscation and other capabilities. .
According to DiaGrid, version 1.15 will take the Workflow API to a production-ready state for orchestrating microservices for long-running stateful apps. Users can orchestrate RAG pipelines for LLM optimization and, for example, use the Conversation API to query LLMs with built-in prompt caching.

Google Cloud Partners react to new GCP Enterprise Discount changes

CRN speaks to channel partners regarding Google Cloud’s move to only offer a consistent discount to partners who resell GCP to enterprise customers.

google cloud Google is set to change its rebate structure for Cloud Platform (gcp) Resale by only offering a consistent discount when a channel partner resells GCP to large enterprises or multimillion-dollar deals.

Colleen Kapse, Vice President of Channels and Partner Program for Google Cloudtold CRN that the company is removing the option for a partner to offer custom GCP discounts in some cases for deal sizes of approximately $5 million or more.
“We are simply flattening and simplifying the way we offer custom discounts at the top end of the market, at the largest deal sizes,” Kapse said, adding that partners can still resell GCP to existing and new customers. Are.
“We’re not saying, ‘Hey, you can’t resell in any customer market here.’ That being said, there is some simplification and streamlining at the higher-end of the market, where we have seen customers prioritize simplification to work directly with us,” Cotton said.
[Related: Google Cloud Changes GCP Partner Reseller Discount for Enterprises: Exec Colleen Kapase Explains Why]
Google declined to provide details on a consistent partner discount being implemented for larger enterprise deals. This change will not take effect until the second half of 2025.

Partners: Changes ‘could impact us winning new deals’

CRN spoke to several channel partners about this new GCP rebate change.
Many said the partner community saw this coming from a mile away because Google Cloud has been asking partners for years to move away from traditional GCP reselling and into more strategic services like transformational professional services and AI offerings.
However, one partner said the move could make it harder for his company to win net new deals when competing against competitors such as Amazon Web Services or Microsoft partners when price is a factor.
“It can impact us in winning new deals because that discount can help us win customers who are looking [Microsoft] Azure or Amazon because we can offer a better price through discounts,” said a CEO of a national Google Cloud partner, who declined to be identified.
“This won’t impact my existing book of business, but it is problematic for my team when they’re trying to win new business there,” the CEO said. “They are making it harder for partners to win new resale deals. …I understand – they’re spending all their channel dollars for services – but it’s pushing every partner into the services category, whether we have technical staff or not.
Another CEO of a regional Google Cloud partner believes Google is trying to push sales representatives into every major customer account.
“Google had to approve partner-requested waiver today, so why the change?”. the CEO of a regional Google Cloud partner said on condition of anonymity. “It appears that Google wants to involve its representatives in every major deal. I don’t know if Google feels the need to stay in control, or whether Google doesn’t trust some of its best and biggest partners.

Many have shifted to partner services; ‘Customers don’t get much value from a pure reseller.’

66Degrees CEO Ben Kessler said the move by Google Cloud to change its reseller GCP exemption is “not a surprise to us at all.”
“This is consistent with the message they’ve given us over the last few years,” said Kessler, who leads Google Cloud national partner 66degrees.
“This will impact some partners, but we made a deliberate transition about four years ago from being a resale-led partner to being a services-led partner,” Kessler said. “We will not be impacted much as we are primarily focused on mid-market enterprise customers. …They’re not touching the mid-market. They’re not touching Google Workspace.”
Sanjay Singh, CEO of top global company Onyx Google Cloud Partner The company, which counts more than half of the Fortune 500 companies as its customers, is in favor of change.
“Enterprise customers don’t get much value from a pure reseller doing only transactions. This is not the nature of market demand today,” Singh said.
Onyx serves more than 300 customers from Fortune 500 companies. Singh said enterprise customers are not seeing GCP resale as a game-changing strategy.
“They want technology platforms to be implemented and deployed very quickly. They want partners like us to come in and advise them on their transformation roadmap. They’re using data, AI and working with their business to identify use cases that are helping to reduce the complexity of the technology environment they have, and training them at scale. And with alignment we are becoming efficient at operating this new capability in-house. That’s what we see across all of our sectors in which we serve our customers – whether they’ve been in enterprise or they’ve been in midmarket enterprise, it doesn’t matter,” he said. “There is only one request for partners like us: help us implement the technology. Help us deploy this at scale. Help me transform my business quickly. Help me identify inflection points where I can gain a competitive advantage and help me advance my business innovation.
“They’re not necessarily looking for a partner that will just do paper transactions and just collect licensing business – we don’t see that happening in our large enterprise customer base,” he said. “In almost everything, customers will only partner with you if you deliver value at the highest level.”

Google Cloud is launching new ‘nine-figure investment fund’ for partners in 2025

Starting in January 2025, Google Cloud is launching a “nine-figure investment fund” aimed at increasing profitability for Google partners led by the services.
“This fund is going to provide incentives and discounts for eligible services work and will continue to help partners promote concepts, implementation, training on AI models, etc.” said Google Cloud’s Kapse. “Managed service providers have been around for some time, but now we’re seeing AI-as-a-Service, SecOps, and SecurityOps become one-stop service partners.”
“We are going to move towards co-selling with our service partners,” Kapse said. “This is where our sales team can work with our partners, regardless of how the transaction is being done, and really bring our partners from earlier in the sales cycle – their services delivery capabilities. With the intention of making it better. ,
66Degrees CEO Kessler said the new partner funding once again shows that Google is telling partners where to go.
“Google is investing in partners to drive professional services. This is great for us and our 400 advisors,” Kessler said. “The strategy that Google laid out two or three years ago and the strategy that we started moving toward – these programs are just reinforcing what they’ve been saying. “His actions are really in line with his strategy.”
Overall, Kapse said Google Cloud is providing an “incredibly high margin opportunity” for partners.
“The industry is evolving into a service mindset. It makes you incredibly sticky with your customers when you’re helping them achieve results,” Kapse said. “I think that’s certainly true in the cloud world. This is even more true in the AI ​​world.

Exec Colleen Kapase Explains Why

Google Cloud’s global partner program leader, Colleen Kapase, explains Google’s new discount model for partners reselling Google Cloud Platform to enterprises as well as a new “nine-figure” partner fund slated for 2025.

Google Cloud is changing its discount model for partners reselling the Google Cloud Platform in large enterprise deals, which in some cases means removing the option for custom GCP discounting in multimillion-dollar deals.
However, Google Cloud top channel executive Colleen Kapase isn’t forcing enterprise customers to buy GCP directly from Google’s internal salesforce and is still encouraging partners to resell GCP in the SMB and mid-enterprise markets.
“We’re not saying, ‘Hey, you can’t resell here in any customer market.’ That being said, there are some simplifications and streamlining in the high-end of the market, where we’ve seen customers do have a preference for simplification, to work directly with us,” said Kapase, vice president of channels and partner programs for Google. “But partners can resell anywhere they choose from a segment size.”
[Related: 5 Huge Google Cloud Partner Benefits In New AI Agent Program: Kevin Ichhpurani]
Google Cloud’s reseller discount changes go into effect sometime during the second half of 2025, according to Kapase. No changes will be made to Google Workspace discounts.
New Nine-Figure Google Partner Fund Unveiled
The $46 billion cloud giant also revealed to CRN that it will be launching a nine-figure investment fund to drive partner services.
“This fund is going to provide incentives and rebates for qualified services work and support partners to continue helping drive proof of concepts, implementations, training on AI models, etc.” she said.
“We’re going to be moving to more of a co-sell motion with our services partners,” Kapase said. “This is where our sales team can work along with our partners, regardless of how the transaction is being done, and really keep bringing our partners in earlier in the sales cycle—very much with an intention for them to position their services delivery capabilities.”
Google Cloud has thousands of partners across the globe. The Google Cloud Platform is the third largest cloud platform on the planet, only behind Microsoft Azure and Amazon Web Services. Mountain View, Calif.-based Google reported record revenue of $11.4 billion during third quarter 2024, representing an increase of 35 percent year over year.
Kapase takes a deep dive with CRN around Google Cloud’s new GCP reseller discount change, what accounts are deemed enterprise by Google, the company’s rules of engagement with the channel, and details about Google’s new nine-figure channel funding.

For GCP resellers, will Google Cloud partners still be able to resell GCP in the enterprise market?
First and foremost, partners can sell up and down the stack—wherever they want to, wherever customers choose to integrate.
So we’re not saying, ‘Hey, you can’t sell here in any customer market.’ That being said, there are some simplifications and streamlining in the high-end of the market, where we’ve seen customers do have a preference for simplification, to work directly with us. But partners can resell anywhere they choose from a segment size.
We are doubling down on our focus in the mid market, in the SMB, in public sector, in many countries and markets where reselling [GCP] typically is a way of doing business together. Workspace and security continue to move in that way.
So we have made some changes. I’m not going to get into the specifics of what discounts changes have changed in that large deal space, but we have made some ways to simplify it. Customers have choice and partners have choice in any market that they want to engage in.
When does this change go into effect?
The change is happening in the middle of next year and the end of the following year.
So what we’re trying to do is give really long lead time for our partners, who maybe have been doing traditionally more reselling, to look at their business models and invest with us in the services opportunity. Again, a long lead time of when that change is going to come so folks can transition.

When you say it affects only ‘large deals,’ what is Google’s definition here as a large enterprises deal?
It’s really in the large end deals where you’d expect to see our sales team.
So we’re thinking deals of, you know, $5 million or more.
So once you’re getting into those strategic size deals, that’s where we’re making some of those [discount] simplifications.
With the new reseller discount structure, is there going to be one flat custom discount for partners to resell GCP?
We are just flattening and simplifying the way we do custom discounts at the top end of the market, in the largest deal sizes.
Really it’s just a simplification and a flattening of things at the higher end of those larger deals, when things can get a little bit more complicated from a deal structure perspective. Our sales team is probably even more needed in those engagements.
What I love about Google is just the amount of investment that we make, and the amount of free technical enablement that we provide our partners, to help them build up their bench of strength in the services side of the of the business. … Frankly, where we see the profit and where the monetization is moving with AI, it’s moving to the services side of the business.

Does this GCP discount change affect partners globally or in specific regions?
It is mostly global. There are some exceptions.
So LATAM [Latin America] is one market that is not going to have some of these discounting changes. Middle East and Africa as well are excluded. Also in a few countries in Asia like Taiwan, Korea and Japan, and that’s probably it.
Other than that, in the rest of the world, we are making these simplifications and changes.
What type of partner does this affect the most? Google’s global system integrators (GSIs)?
No, not really at all.
The reason is most of the time where global SIs and even the regional SIs are focused on, those system integration services, they’re doing direct deals with the customer on their services engagement.
The resale opportunity is not really what they’re engaged in, if you will. So we see this having little to no effect on them.
But for organizations that are smaller, but maybe focus more on resale, we do see that opportunity of moving to that managed service model where you’re offering AI as-a-Service as an interesting route to go. Where, if you still want that direct customer relationship, you can have that, but you’re literally offering a model as a service to customers.

What about GCP renewals? Let’s say a partner doesn’t have a GCP renewal until 2026. What’s going to happen with renewals after you implement this reseller discount change next year?
Some customers are going to choose to just do business as they have. They’re happy they got what they need, and they’re just continuing to grow.
Other customers are coming to us and the relationship is changing significantly.
The strength of Google Cloud with our data products, our offerings, our models, etc. there are relationships at the renewal point that are changing. There are customers coming and doubling down in us. The investments are getting to pretty strategic sizes.
There are some cases where some of those customers are going to want to evolve how they’re working with us and work with us in a direct model, and we’ll support that as well.
But again, if they’re doubling down on us, especially with the data strategy, they’re going to need a services partner engaging with them to help them on that implementation.
So it doesn’t mean that a partner is not involved. It just means that the way that we’re working together is going to change slightly.
So Google will still abide by a partner’s renewal contract once this goes into effect?
Correct. Customer choice is first and foremost.
If that deal is going to really expand strategically and change, then the simplifying discounts will allow that customer to come and work with us too.
There are, frankly, a lot of customers that are really tripling down on their investment in Google Cloud. It’s a pretty exciting time to be a partner at Google Cloud right now.

What is Google Cloud changing in terms of changing your discount structure for partner reselling GCP?
We’re simplifying our discounting structure and we’re bringing in more predictable pricing. So we’re bringing our discounting model, especially for resellers, and really working to standardize it and simplify it.
We are really focus on those partners delivered services. You’re going to hear us talking more and more about streamlining from a co-sell motion. This is where partners can continue to work with us, and customers can continue to work with us, and we can work together in this co-sell.
Some may say, ‘Hey, does that mean Google is moving away from resale?’
Reselling is still really important to us. One of the areas where we’re doubling down on is our Google Cloud Marketplace, and that’s continuing to be in destination for buyers and sellers—both our own first party products and third party products. We’re continuing to look at different ways that we can get partners more and more engaged with that motion.
We’re going to be moving to more of a co-sell motion with our services partners. This is where our sales team can work along with our partners, regardless of how the transaction is being done, and really keep bringing our partners in earlier in the sales cycle—very much with an intention for them to position their services delivery capabilities. We want to get to delighted customers as fast as we possibly can.

Are Google Cloud’s internal sales force rules of engagement with partners changing for GCP resellers? Can you explain what those rules of engagement will look like in the second half of 2025?
Customers always have choice and they can engage with partners in any way. When we’re looking at co-selling, we’re actually creating new programs and new systems to have partners be able to tell us, ‘Hey, I’ve got this opportunity. I’d like to work with your sales team.’ Because we still need to be in this together with our partners.
We’ll have 100 percent of our opportunities having a partner participate.
What’s just going to change is who’s doing what? We’re very much looking at partners who have invested in technical resources, have pre-production solutions on AI, and engaging with them earlier in this opportunity.
Many of these partners bring decades of industry specific data, machine learning, data science experience. We’re bringing them into these deals earlier to help work with us on these opportunities, to identify these opportunities and to help close these opportunities. We’re shifting a ton of our funds into helping the implementation of these services too.
So our engagement across our sales teams and our partners actually is going to strengthen and deepen, because you have to be more engaged in an opportunity together to understand—not just how am I selling this opportunity—but how am I selling, delivering and delighting a customer.
So there isn’t rules of, ‘Work less with partners.’ If anything, we’re focusing on systems and programs of how do we work earlier with partners, earlier in sales opportunities, and engage with the right partners who have the right expertise.
So to wrap it up, enterprises can still buy GCP from a Google partner reseller?
Correct. We’re not restricting where they can buy. We are just changing and simplifying on large deals.
So there may be more options for customers, ‘Do you want to work direct with us?’ But in no way are we saying, ‘You can’t resell here.’

Talk about Google’s new nine-figure fund over the next three years. What should a partner be doing right now if they want to capture some of that funding?
We continue to see this new business model evolve with the birth of AI.
Managed service providers have been around for a while, but now we’re continuing to see more often, AI-as-a-Service, SecOps and Security Ops-as-a-Service.
So partners who truly meet that bar of end to end services offerings for customers, that’s something we’re going to keep investing in and investing our resources to help in terms of developing those practices, and help customer expansion of those practices.
Because there are some customers that are just saying, ‘Hey, this is getting complicated. This is difficult. I want to see the advantages of SecOps. I want to see the advantages of AI. I don’t necessarily have the skill set or the resources within my own company to manage that. So I’d like to outsource that to a third party.’
So that’s why we see that as such a huge investment opportunity for us in terms of partners that are offering that to customers. There’s a lot of customers asking for that level help.
When does that nine-figure-fund kick in for partners?
The beginning of the fiscal new year in January.

Security teams have ‘window of opportunity’ on GenAI: Google Cloud expert

According to Google Cloud’s Nick Godfrey, generative AI capabilities appear to be giving defenders an edge over attackers.

The advent of new cybersecurity capabilities powered by generative AI appears to be giving defenders an edge over attackers, Google Cloud’s Nick Godfrey told CRN.
Although the situation may not last long, the current gains suggest that cybersecurity teams would be wise to double down on GenAI capabilities so they can get the most out of it, said senior director of the office of the CISO at Google Cloud and former global co-founder of GenAI. Godfrey said. -CISO at Goldman Sachs.
[Related: 5 Emerging GenAI Security Threats In 2024]
According to Godfrey, GenAI has major implications for what is known as the “defender’s dilemma” – the notion that cyberdefense teams are expected to be 100 percent successful, while attackers are expected to succeed only once to have an impact. Does matter.
Thanks to newly available GenAI-powered capabilities for security, he said, “I think that right now, we have an opportunity to help solve the defender’s dilemma.”
Cybersecurity industry vendors have lauded GenAI’s ability to enable new functionality across many security tool categories, though the technology is perhaps making the biggest difference in the area of ​​security operations.
For Google Cloud, for example, GenAI’s main focus is on using capabilities to help security operations analysts improve their decision making and automate more of routine tasks, according to Godfrey.
“Helping to accelerate security operations, reduce the scale and labor associated with them is a big driver for us,” he said.
Also, threat actors are believed to be making heavy use of GenAI tools to enhance their phishing and social engineering attacks as well as deepfake scams, but there is not much evidence that attackers are using more sophisticated technology. Have moved towards uses. ,
In contrast, “the use of AI by defenders is probably advancing at a faster pace,” Godfrey said.
The challenge for Google Cloud and all CISOs is, “How do we double this capacity?” He said. “How do we really understand where it can be used and how it can enhance and enhance the capability of existing teams while we still have that window?”
For IT consulting giant Accenture, No. 1 on CRN’s Solution Provider 500 for 2024, the opportunity is to seize Introduction A set of cybersecurity services with new capabilities powered by GenAI.
For example, Accenture said last week that it is deploying GenAI to enhance a number of services, including its managed detection and response (MDR) offering. Paolo Dal Sin, global head of Accenture Security, said the company’s security teams are leveraging an AI assistant that can better collect and analyze threat intelligence, ultimately significantly improving risk correlation.
Using these capabilities, he said, “there has been a material improvement in the effectiveness” of providing MDR to customers.
Ultimately, while concerns about the use of AI by attackers have been widespread, “we strongly believe that GenAI will help defenders more than attackers,” Del Sinn said. “And so we thought that as Accenture, we needed to invest in showing a different approach and looking at GenAI as an opportunity for security.”

5 Big Google Cloud Partners Benefit from New AI Agent Program: Kevin Ichchapurani

‘We are compensating our representatives by giving them quota credit for selection [partner] solution, where our reps will actually take them to market and be compensated like a Google product,’ says Kevin Ichpurani, global channel head for Google Cloud.

Google Cloud’s new AI agent The partner program will see Google co-innovate with partners, helping customers spend and compensate their cloud commitments on partner offerings google sales Reps to sell partner solutions to customers.
“The channel has a huge opportunity for services here because the game has changed. It’s no longer just about lifting and moving compute, storage and network workloads,” said Kevin Ichapurani, global channel head at Google Cloud, in an interview with CRN. “Customers are fundamentally looking at how to rethink their business models that fully leverage AI and data,
The $46 billion Mountain View, California-based cloud giant launched its new AI Agent Partner Program this month with new AI agent incentives, product support and co-selling opportunities.
[Related: 66Degrees CEO On How Google AI Sales Grew 325%]
Ichchpurani is the President of Google Cloud’s Global Partner Ecosystem. In an interview with CRN, he outlined five key things every system integrator, MSP, and solution provider should know to navigate Google’s new AI Agent Partner Program. agentic ai technology,
No. 1: Google will help customers spend cloud commitments on partner AI agent offerings
Google Cloud will actively promote partner AI agent offerings through co-marketing as well as distribution through the new AI Agent Space category of the Google Cloud Marketplace.
“Agent Space is where customers can search and find the AI ​​agents they want and leverage their Google Cloud commitments to buy those agents to basically reduce those commitments as they purchase Google Cloud Solutions“Ichchpurani said. “They can reduce their Google Cloud commitments when they purchase the eligible solution.”
Google Cloud’s AI Agent Space aims to help customers easily find, purchase, and deploy AI agents from partners on Google’s online marketplace.
“So we’re helping with the entire life cycle – from helping you decide how to become an agent, then helping you become an agent, to helping you promote your agent,” he said.
Click to read the other four keys to Google Cloud’s new AI program.

No. 2: Google is compensating sales reps for partner offerings on the Cloud Marketplace
According to Ichchapurani, for select partner solutions, Google will “compensate our sales representatives for taking those solutions to our customers”, providing Google sales representatives with the usual quota credit.
“We are compensating our representatives by giving them quota credit for selection [partner] Solutions, where our reps will actually take them to market and get compensated like a Google product,” Ichpurani said. “For example, a partner or a software or a services firm creates an agent that is in the marketplace. Yes, we will pay our delegate compensation and quota credits on them.
Google Cloud Marketplace is a way for customers to not only discover, discover, and buy solutions, but also a way for Google sales representatives to get compensated for qualifying solutions and quota credits. “We want to help deliver these to our customers, and the market is a very strong vehicle,” he said.

No. 3: Co-innovation with partners, incentive credits and early access to technology
A key goal of launching the new AI Agent Partner Program is to accelerate co-development between Google Cloud and partners,
“Partners understand where the demand is in the market. We are providing incentives like credits to help them grow on our platform,” Ichchapurani said.
To advance agent AI development, Google Cloud will provide partners with direct access to products and Google engineering teams to guide and optimize their AI agents. To help drive go-to-market success, Google Cloud is also offering co-selling opportunities and programs designed specifically for AI agent solutions to help partners market their offerings more effectively. To help in promotion and adoption to a wide range of customers.
“For select partners, we are providing early access to our technology,” Ichpurani said. “We are providing technical enablement with our partner engineers to help them design solutions and provide them with technology best practices.”

No. 4: Marketing Partner Solutions
The new program will highlight the partners’ work through targeted marketing resources, blogs and dedicated events, with the goal of increasing the visibility of partner-built AI agents.
“We are jointly marketing these solutions, allowing partners to showcase them at our events. [We’re] They are also being showcased in a dedicated section of the Google Cloud Marketplace Agent Space, where customers can search and discover and buy solutions,” Ichchapurani said.
Google’s ultimate goal is to market and create new industry-specific and horizontal solutions to meet customer needs to help automate core business processes. “That’s really how we work together with our partner ecosystem to create a one-plus-one-equals-three effect,” Ichpurani said.

No. 5: $12 service dollars for every $1 of cloud
Ichchapurani told CRN that Google is trying to nudge partners to run more lucrative AI services than lift-and-shift services.
“We have some analyst data that we looked at. Let’s say it’s a $1 cloud when you just lift and move the compute, storage, etc.—it could be one for one: $1 of services for $1 of cloud. Whereas when you are doing strategic things like helping a company increase its top line by improving a core business process with AI, it is more than $12 for every $1 of cloud services,” Ichpurani said. .
He said the margin opportunity for AI services is huge because partners are impacting the core business of an enterprise.
“So by helping them increase the top line and streamline costs, you are able to monetize a lot more. You have a lot more strategic advisors or consultants, which not only leads to more revenue, but also leads to higher-margin business,” Ichpurani said.

66Degrees CEO On How Google AI Sales Grew 325 Percent

Top Google partner 66degrees takes a deep dive with CRN around how the solution provider’s AI sales spiked 325 percent in 2024. ‘If you and I are in a brainstorming session, we’re going to come up with 10 good ideas. But if you can have a 5,000-person company come up with ideas, your use cases are just going to flow out,’ says CEO Ben Kessler.

One of the nation’s top Google AI consulting and services partners, 66degrees, is witnessing a massive 325 precent AI sales spike this year as it pivots customers from AI proofs of concept into production.
“Market trend No. 1 is we’ve moved from POC and trying the art of the possible into picking a few lanes in revenue generation or cost reduction where customers are applying AI to test that,” said Ben Kessler, CEO of Chicago-based 66degrees.
Kessler said Google’s market position and strategy for enterprise search and agentic AI, or AI agents, “have a ton of legs.”
“Those are two areas where people can look and touch and feel AI—who are not familiar with AI—but can think of the AI use case in their business,” said Kessler. “If you can get people to adopt AI in your business, the use cases will come and the use cases will spread.”
[Related: Google Cloud Launches AI Agent Partner Program To Drive GenAI Sales, Customer Growth]
“For our clients that are very advanced from an AI standpoint, they’ve given AI into the fingertips of their employees. They said, ‘We’re going to give you these tools. We’re going to give you Gemini for Workspace or Copilot. We’re going to give you a variety of different things so that you can start experimenting,’ said the 66degrees CEO.
“Because if you and I are in a brainstorming session, we’re going to come up with 10 good ideas. But if you can have a 5,000-person company come up with ideas, your use cases are just going to flow out,” he said. “So the really forward-leaning CIOs have said, ‘Let’s get AI into as many people’s hands as we can and familiarize and train with it. The adoption will go up, but also the ideas in our organization will go up.’”
66degrees And Google Cloud
66degrees is a leading AI consulting and data services solution provider and one of Google Cloud’s top AI channel partners, specializing in developing AI-focused, data-led solutions alongside Google technology.
In fact, the company won Google Cloud’s 2024 Expansion Partner of the Year Award for North America.
In an interview with CRN, Kessler takes a deep dive into why AI sales are skyrocketing in 2024, Google BigQuery momentum in migrating customers’ data estate to the cloud, Google’s AI agent charge and 66degrees’ winning AI strategy.

How much are AI sales growing for 66degrees?
From the end of 2022 to the end of 2023, our Google AI growth was around 600 percent. We couldn’t repeat that again. But if you look at the end of 2023 to the end of 2024, our AI practice, our AI revenue, is growing between 320 [percent] and 325 percent. This is measured by billable revenue for our AI/ML consultants.
It’s an exciting trend to see in the market as more companies move from POC to production use cases for their enterprise AI.
How did Google AI sales grow more than 3X in 2024?
We’ve got about 50 data scientists at 66degrees. It’s the fastest-growing area.
Our strategy breaks down into the business centers of where customers can benefit from AI. There are two strands. Strand No. 1 is: How can you have AI and GenAI, from an agent standpoint, interact with helping drive revenue in your business?
I’ll give you a couple of case studies. From prospecting to helping identify high probability, all the way to helping keep your current and active customers engaged and buying more, so everything in the revenue center is what we’re thinking about in one pillar.
Then the second pillar is how you can actually optimize your operations. That would come down to a variety of different things: Some are agents, some are just more traditional data science models.
That could be, ‘How do you get better at forecasting? How do you get better at pricing? How do you actually build out your supply chain and logistics arms with automating with data science models. How do you expand your employee productivity?’ And that is where AI agents would actually come into play. So, ‘How do you do this across your finance arm? Your HR arm?’ It’s relevant to every single business.
Google’s strategy plays to each of these things. Because what does a CEO or CIO care about? If you can propose a solution that increases an end client’s revenue or reduces cost or improves productivity—you’re going to catch a board’s ear as well as a CIO’s ear.

What are the biggest market trends driving sales for 66degrees? What’s working for you?
Our sales trends are three-fold. Enterprises moved last year from the POC, from an AI standpoint, into now actually moving into production—especially if there can be a business value attached to it.
We’re having a lot of our clients doing an ROI test on their AI. Market trend No. 1 is, we’ve moved from POC and trying the art of the possible into picking a few lanes in revenue generation or cost reduction where customers are applying AI to test that.
No. 2 is on the data side because you need good data to have good AI. I’m a consultant by background and started off my career in business consulting and finance. You can’t have bad data.
Where 66degrees has had lots of tailwind at this point is deploying ROI-driving AI. But our stumbling block is if a company doesn’t have the data ready, if their data isn’t modernized and their data isn’t there—the model will only go so far.
Google and other models right now are quite good. It comes down to the AI pull and then the data pull, companies actually having their data in a good place, but then being able to have plenty of data to basically train their final outset.
No. 3: We’ve seen some resurgence from just some cloud migration and actually doing some lift and shift and some application modernization. Some of that pull has been AI and data, but I also think that the interest rate environment and spending has loosened up a little bit.
People are saying, ‘Hey, if there can be an ROI on this, moving this or modernizing this application, I’m absolutely going to do that.’

In terms of getting customers’ data estate in order so AI can do its magic, what’s working for 66degrees on the Google side?
So the data products that Google is offering, first and foremost with BigQuery, are very good products. Best-of-breed products.
I look at AI as a three-legged stool. Is your data platform in order? Is your data state in order? That can be both from a data warehouse and a data lake standpoint. We’ve been very satisfied with the BigQuery product, especially how it integrates and centralizes people’s data, but that it integrates with other Google products or other large language models that are needed.
So No. 1, BigQuery is very good.
No. 2 is the large language model.
Then No. 3 is, from a RAG [retrieval-augmented generation] standpoint, the final mile, that’s where a partner comes in and not only moves and modernizes your data but sets up a RAG framework so you can frame the last mile model on your data. And you can have your application or your analytics tuned.
The other way Google is helping from a product standpoint is they’re helping fund us from a migration standpoint. There’s funding, especially if there is spend downstream from that. Google’s continued to be a good partner in that. Some of their targeted campaigns that they’re going to market with partners have been very successful.

Is there one particular campaign from Google that’s helping you?
Customer Experience Reimagined is one we’re focused on right now. There’s a dozen use cases.
What Customer Experience Reimagined means is using and leveraging the CCAI [Contact Center as-a-service AI] platform to develop and put agents into the market.
We’ve built AI agents for large theme parks that are sitting on Google, which is enhancing the guest experience. For travel and tourism, we’ve built the customer experience that before you get to the resort or hotel, you’re engaging with a Google AI agent that is extending your experience.
So we’re able to push our solutions into the market with the back end of an agent that’s built initially with Google technology but uses [66degrees] as the final mile for us to help execute and train the Google model on that client’s use case. It’s actually quite effective.
The three-legged stool is BigQuery, Gemini or a Google model as the large language model. But then, the final mile,is really important for us. Because oftentimes, when you pull a large language model out of the box, it’s not super helpful. You have to train the model on your data and your intended use case.

One of Google’s biggest pushes in AI right now is AI agents. You said customers are buying into agentic AI or AI agents because it either drives revenue or saves them money. First, can you talk about how AI agents are creating new revenue for customers?
We talked about the agents at these various different travel and tourism use cases. We’ve also done this in financial services, manufacturing and in the energy industries, where agents are helping customer service representatives or helping the customer do one of a variety of things.
In manufacturing, logistics and energy, the agent is helping the customer service rep remediate an issue. For example, the power goes out or they can’t find a replacement part. It’s helping the customer service agent be faster and quicker and more responsive.
In customer-facing, this is true in financial services. It’s the agent interacting directly with the customer. So the customer is having a conversation with the AI agent.
If you can actually fine-tune the agent to understand—and we’re working with even large telecommunications customers on this—if you can train that agent on the customer’s data, it can actually have a more fine-tuned and better customer experience than if you or I were actually serving that customer.
If you think about resorts, or if you’re on a cellphone and you’re interacting with this agent, it actually is much more fine-tuned in the tone and the data.
We can know your data about what you did last vacation and about what experiences you liked. This is true in telecom companies. This is true in banks. This is true on large ships. This is all about using Google technologies to help improve the revenue for each of these customers. This is why we’re growing at 325 percent this year.

Where are customers buying AI agents in terms of cost savings?
On the cost side, I’ll give a couple of different examples.
A finance and procurement office will always need help around forecasting business demand. If you think about the job of a financial analyst, which was my job when I first started off, it’s processing data. It’s processing information and lots of structured and unstructured data.
We have helped a number of different clients actually build data science models to process and help that data. It’s not replacing the analyst. It’s just allowing the analyst to [have] better insight. And that could be on pricing, and that could be on demand forecasting, etc.
In many ways, the agent in this case—based upon that data science model—is making recommendations to the human agent about how the outlook will come across. Imagine if you were able to develop a forecast over the next six or 12 months that wasn’t just based upon your financial analyst but was able to take a data science model and completely process it.
It’s actually accelerating and improving the accuracy of that demand. Or it’s improving the accuracy of a raw material input into this where you can say, ‘I can be more fine-tuned.’ Essentially, what [AI agents] do is, it’s not taking the human decision out of this—it’s improving human decisions with the correct data.
So if you think about what data science is doing and what agents on the face of this are doing, it’s improving the life of the financial analyst so that they can make better, more well-informed decisions.

What’s another example around AI cost savings?
We have a number of clients asking us to put an enterprise search capability on their HR and their finance and their information [departments].
This is a little bit more enterprise AI than this is agentic AI. But what AI is allowing them to do is smart enterprise search to completely search through and have information faster. We’re seeing some clients actually using agents to suggest or make suggestions where there can be a conversation with this enterprise search.
So those are the couple of most popular use cases that we’re seeing: ‘How do you make the financial analyst’s job easier across a number of different metrics? And then No. 2 is, how do you actually remove some of the interface of the financial analyst or the HR person or the legal person, so that you can actually do some disintermediating and get to the information faster?
At the end of the day, what you’re doing is you’re democratizing data.

Five companies that won this week

For the week ending November 22, CRN will take a look at companies that have brought their ‘A’ game to the channel, including Viz, Google Cloud, Desktop, Nvidia, DXC and ServiceNow.

Week ending November 22
Topping this week’s Came to Win list is fast-growing cloud security provider Viz thanks to a strategic acquisition around cloud remediation technology.
This week’s list also includes Google Cloud to create a new AI agent partner program and security startup Desktop to launch its first channel program.
Nvidia is here to unveil its new four-GPU “superchip” for advanced AI computing. And IT services provider DXC and workflow automation company ServiceNow have teamed up to create a new center of excellence to accelerate the adoption of ServiceNow’s GenAI offerings.

Viz to acquire cloud remediation startup Daze for $450 million
Cloud and AI security provider Viz this week announced a deal to acquire channel-focused startup Daze to expand the vendor’s cloud and AI security platform with cloud remediation capabilities.
Calcalist reported its price tag Planned acquisition of Dazz At $450 million. CRN has contacted Viz and Daz for comment. A source familiar with the deal confirmed the figure crn,
Daze offers a cloud security platform that focuses on remediation, including capabilities such as application security state management and continuous threat and risk management.
In a post Thursday, Viz co-founder and CEO Assaf Rappaport said Daze brings an “industry-leading remediation engine” that allows Viz to “help security teams correlate data from multiple sources and address application risks in a unified platform.” Will enable to empower to manage.
In July, Daze announced it had raised $50 million in funding, bringing the startup’s total funding since its launch in 2021 to $110 million.
This is the second acquisition in 2024 for fast-growing Viz deal to cloud detection and response provider Gem Security in April, and its third acquisition overall.

Google Cloud launches AI Agent Partner Program to boost GenAI sales, customer growth
Google Cloud makes this week’s list of five winning companies with its plans to take AI agent sales and customer adoption to new heights. Launching Google Cloud AI Agent Ecosystem Program Helping partners build and co-innovate AI agents through new technical and go-to-market resources.
“Through this program, we will provide incentives, product support and co-selling opportunities to help our service and ISV partners bring these solutions to market faster, reach more customers and grow their AI agent businesses.” are increasing,” said Kevin Ichchapurani, president of. Google Cloud’s global partner organization, in a blog post.
Additionally, the cloud giant launched a new AI Agent Space on Google Cloud Marketplace with the goal of enabling customers to more easily find and deploy partner-built AI agents.
Google Cloud plans for its new AI Agent Partner Program to accelerate the development and adoption of AI agents by supporting partners in three key areas: accelerated agent development, market success, and increased customer visibility.

Deskop Unveils First Channel Program to Improve Identity and Access Management with Partners
Staying on the topic of partner program launch, Deskop is Launching your first formal channel event Co-founder Rishi Bhargava asked for the help of solution and service providers to accelerate the development of its simplified platform for customer identity and access management (CIAM). crn,
Bhargava said the startup is taking a “partner-first” approach for its next phase of expansion and is hoping to surpass its current rate of 30 percent of revenue generated through partners.
“We’re starting to see signs where channel partners are already bringing us into bigger and bigger opportunities,” he said. “We are confident that this will lead to huge growth.”
Bhargava said Desktop is looking to expand with the recruitment of more solution and service provider partners, who will gain a formal process to engage with the company as part of the new channel program. Key benefits of the program include deal registration, incentives, pre-sales support and joint marketing programs.

Nvidia unveils 4-GPU GB200 NVL4 superchip
Nvidia debuted its biggest AI “chip” to date on this week’s list — the four-GPU Grace Blackwell GB200 NVL4 Superchip — which is another sign that the company is pursuing its AI computing ambitions. How to expand the traditional definition of semiconductor chips.
Supercomputing announced in 2024 At the event on Monday, the new product is a step up from Nvidia’s recently launched Grace Blackwell GB200 superchip that was revealed in March.
The GB200 NVL4 superchip is designed for a “single server Blackwell solution” running a mix of high-performance computing and AI workloads, said Dion Harris, director of accelerated computing at Nvidia, in a briefing with reporters.

DXC, ServiceNow partner on new Center of Excellence, helping GenAI
Global technology services provider DXC this week unveiled a new Center of Excellence built with the help of ServiceNow to help drive AI adoption using ServiceNow’s GenAI technologies.
new center of excellence The purpose is to demonstrate how the company’s customers can use ServiceNow’s AI capabilities in a practical way, said Howard Bovill, DXC’s executive vice president of consulting and engineering services. This includes working with Now Assist, a generative AI-powered service within the Now platform.
With the Center of Excellence, DXC can leverage all the knowledge it has built with customers around the world by bringing it all into one place, Bovill said.
Another benefit of the Center of Excellence is training opportunities for DXC personnel. ServiceNow has invested its own resources in the DXC center, including providing its own experts to help train DXC staff.
Bovill said the Center of Excellence builds on DXC’s more than 15-year partnership with ServiceNow. Erica Volini, ServiceNow’s senior vice president of global partnerships and channels, said: crn When it comes to GenAI, DXC is one of their company’s most aggressive partners.