VeeamON | Keynote Analysis

Keynote Analysis

In this keynote analysis from VeeamON 2026 in New York City, theCUBE's Dave Vellante and Krista Case break down the strategic vision behind Veeam's opening keynote — and CEO Anand Eswaran's argument that trust, not silicon or power, is the defining bottleneck for enterprise AI. Eswaran positioned Veeam as the missing "AI trust infrastructure layer" within a five-part stack, a pivot Case describes as a natural evolution from the company's backup roots into full-spectrum data security. Vellante traces Veeam's 20-year arc — from its virtualization-era founding in 2006 through acquisitions of Kasten for containers, Coveware for ransomware response and now Securiti, which adds data security posture management (DSPM) and AI security posture management to the platform. Key metrics from the keynote reinforce the company's scale: 550,000 customers, $2 billion in ARR and a two-minute RTO benchmark. The conversation also explores three structural shifts Eswaran identified as drivers of this new era — SaaS data gravity, $3 trillion in projected AI infrastructure spend by 2028 and 82 agents for every human employee — alongside four major product announcements, including the Veeam DataAI Command Platform and an AI Trust Maturity Model available free to customers. Vellante and Case also unpack the significance of White House Cybersecurity Director Sean Cairncross joining the keynote stage, highlighting his call for an operating model that spans defense, resilience and recovery and his push for greater public-private knowledge sharing as AI amplifies attacker capabilities. From managing shadow AI risk in the near term to the longer-horizon challenge of capturing and recovering enterprise process knowledge at scale, the analysts outline why data resilience is becoming a foundational layer of modern infrastructure strategy.

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Krista Case

Principal Analyst and Practice Lead for Cyber Resilience and Security

theCUBE Research

Dave Vellante

Co-Founder & Co-CEO

SiliconANGLE Media, Inc.

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play_circle_outline Veeam’s Five-Layer Knowledge Graph and DataAI Command Platform: Security, Governance, Compliance, Privacy, Resilience, Data Platform 13.1, AI Trust Model

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Transcript

Keynote Analysis

Krista Case

Principal Analyst and Practice Lead for Cyber Resilience and Security theCUBE Research

Dave Vellante

Co-Founder & Co-CEO SiliconANGLE Media, Inc.

HOST

In this keynote analysis from VeeamON 2026 in New York City, theCUBE's Dave Vellante and Krista Case break down the strategic vision behind Veeam's opening keynote — and CEO Anand Eswaran's argument that trust, not silicon or power, is the defining bottleneck for enterprise AI. Eswaran positioned Veeam as the missing "AI trust infrastructure layer" within a five-part stack, a pivot Case describes as a natural evolution from the company's backup roots into full-spectrum data security. Vellante traces Veeam's 20-year arc — from its virtualization-era founding i... Read more

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What were your impressions of the VeeamOn keynote and Veeam’s positioning as an AI trust/data resilience layer? add

What is your assessment of Veeam's progression over the past 20 years — its rise in the industry and its ability to adapt its strategy and acquisitions to prevailing trends? add

What did Anand say about Veeam’s size, capabilities, history, and future strategic focus? add

What did Eswaran emphasize about gaps in AI and Veeam's knowledge graph, and how might that shape policy moving forward? add

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Keynote Analysis

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Dave Vellante

>> Hi everybody, welcome to New York City. This is Dave Vellante for theCUBE, and I'm here with Krista Case, my co-host for this week's VeeamOn 2026. We are here at the awesome location, Krista.

Krista Case

>> Yes.

Dave Vellante

>> This is sort of a new location here in New York City, and VeeamOn, we're just coming off with the keynotes. Anand Eswaran basically made the case, Krista, that not only is Silicon a bottleneck, not only is power and water and data centers a bottleneck, but trust is the AI bottleneck, and Veeam wants to be the data and AI trust infrastructure layer. He laid out his version of the stack. Five layers. He said there's a missing piece and that missing piece is AI trust. A very narrow view of the world and Veeam's perspective, but nonetheless a correct one. First of all, this is your first CUBE. This is your inaugural CUBE, so welcome.

Krista Case

>> Thank you so much.

Dave Vellante

>> Great to have you here. We're super excited to have you on board as leading the data resilience and the cybersecurity practice at theCUBE Research. So welcome. What are your thoughts? What'd you think of the keynote?

Krista Case

>> Yeah. Yeah, Dave, I think the keynote ... So first of all, thank you so much. I'm thrilled to be here. And yeah, in terms of the keynote, like you mentioned, I think Veeam is very adeptly dialing in on this layer that's required in terms of this AI governance. And given the fact that Veeam comes from this standpoint of data backup and increasingly they're moving into data security, that's really a critical layer when we talk about securing this AI security stack for a couple of reasons. The first is that we really need to hone in on the context of data in terms of how sensitive and valuable is it to the data. And secondly, we really need to make sure that it is recoverable and very resilient from that standpoint. So I see this as a move from Veeam to really be evolving from those backup routes into this new domain.

Dave Vellante

>> Anand Eswaran made the case for Veeam. We went back to the beginning, which Veeam started in 2006 right in the middle of ... I mean, the timing was perfect. It was in the middle of the virtualization era. And they aptly, their founders, Ratmir and company named the company Veeam. Everybody confused it with VMware. It was perfect timing for the VMware ascendancy in 2006. It's a 20-year-old company now, and he talked about the various eras. I like to think of it as, okay, there was the virtualization era. And then Veeam has always been there with the latest trend, making it really simple, taking tough operational problems and simplifying them. So they went from virtualization and obviously cloud, containers. They bought Kasten. And so now of course, they're talking heavily into the agentic era. They leaned in, as you well know, to the ransomware trend and made some acquisitions around that and built some products around that. And of course, the CEO of Securiti is now on. Anand Eswaran called them his partner in crime.

Krista Case

>> Yes.

Dave Vellante

>> So what's your take on Veeam's progression, its ascendancy, and its ability to map to the fashion of the day?

Krista Case

>> Yeah, yeah, absolutely. I think this acquisition of Securiti shows that it's, to your point, Dave, very dialed in to the key challenges that its customers are facing. I know just in terms of the work that I've done with Veeam personally, they really want to dial into the hearts and minds of their customers. It's always been a core part of their product strategy as well as their messaging. And with this security AI piece, they're adding two key capabilities. They're adding data security posture management, DSPM, and they're also adding capabilities around AI security posture management as well. So they're taking those capabilities like backup and instant recovery, as well as what they've been leaning into in incident response. They made an acquisition a couple years ago prior to the Securiti acquisition of Coveware. And again, now they're adding the security posture management layer, that context in terms of data sensitivity, as well as the ability to understand the security posture of AI applications as well.

Dave Vellante

>> So a couple of the stats Anand shared, that they've got 550,000 customers. I mean, that's always been a big number for Veeam. A lot of those are smaller customers, but a lot of those are enterprise customers as well. They've passed the $2 billion ARR mark. He claimed they have the best instant recovery, a two-minute RTO, and obviously very broad workload coverage. We know that about Veeam. They were the first, by my recollection, to do Microsoft 365. I think they were the first to do Salesforce. At the time, people were like, "Why do we need to back up SaaS?" And I think they educated the market on that. So he talked about the first era being fast recovery and broad workload coverage. The second area being cyber resilience. He mentioned post-quantum cryptography. And the third era is agentic and he talked about all these new rules and several triggers. Trigger number one was the data gravity flips. You got all these SaaS apps, and the data in the SaaS apps is siloed. I want to come back to that. But his point is that every system now with agentic is this live organic system, and he's talking about massive data creation over the next three years. He said 81% of enterprises are running agents. That's interesting. Half of them probably don't even know they're doing that.

Krista Case

>> Exactly.

Dave Vellante

>> The second rule was infrastructure spend is enormous, $3 trillion by 2028, but there's 82 agents for every human. That's the trend that we're going to see. And then rule number three is that, that infrastructure that's trusted hasn't been delivered yet, that the trust perimeter is gone. AI changes all that. It melts that trust perimeter and that is the new bottleneck. And that was the premise of his talk. I want to get your thoughts on that and get to the highlight, which was the director of cyber from the White House, but pick it up from that.

Krista Case

>> Yeah. Yeah, absolutely. Again, I do think that this is ... I think, again, they're very spot on in terms of that's really the point that customers are trying to secure, and really it's become the bottleneck. So being able to have those operational guardrails as they move AI into production really is a bottleneck today. I did want to double-click quickly. I know, Dave, you mentioned that 82-to-1 agents-to-human stat. Candidly, I've heard even higher stats over the last couple weeks, and that problem is only going to continue to grow. So what I also really like is that they're leaning not into those data components, but they're also leaning into how can they work with identity providers to secure the privileged access to that data. So I'll personally be really interested to see how that plays out.

Dave Vellante

>> So the big news today, the highlight of the keynote was Director Sean Cairncross, who's the White House Director for Cybersecurity. That was a good get by Veeam, and Anand Eswaran spent fair amount of time with him going through recovery and resilience as a core principle, the public-private partnership. There was a lot of motherhood and apple pie in that conversation, but I will say this about the current administration is much more interested in partnering with the technology community, leaning into tech. They want to be leaders in tech. They want to be leaders in AI. And they've affected policy, whether you like it or not, that is a tailwind for data center buildouts, AI, AI infrastructure, and certainly cybersecurity. There's some debate today in the news around the crypto act that's coming. We know the GENIUS Act was passed. But there's some friction from labor around the current crypto, but the administration is very leaning forward into technology generally. What did you make of Director Cairncross' commentary? what are your thoughts on having him here at VeeamOn?

Krista Case

>> Yeah, I agree, I think it was a really great guest, Dave. And one thing that I start in my notes was Director Cairncross reiterated the fact that it's not enough anymore just to play defense. I know that's something you and I have been talking about as we launch this security and resilience practice here at theCube Research, that there really needs to be this operating model that spans from defense all the way through resilience and recovery. So it was really validating to hear that even from a government perspective, thinking about policies, that those are going to be shaped with that in mind. I really liked hearing that. And I also liked, to your point, his comments on partnerships with the private tech sector, but also with other public entities in terms of the types of threats and attacks that they're facing and how do we have better knowledge sharing. I think that's going to be really important as attack vectors evolve more quickly with the use of AI, which as we know is available to attackers as well. So I really liked hearing the push and pull between government tech, third-party public sector organizations as well, and how that might shape policy moving forward.

Dave Vellante

>> Eswaran, he really didn't go deep into the product announcement. We got the preview last night. Veeam's got four new major announcements, Veeam DataAI Command Platform, Veeam Intelligence Resilience Operations, Veeam Data Platform 13.1. The cadence continues. And they're launching an AI Trust Maturity Model that's free for customers. I'm sure we'll be talking about the products today, but it was interesting that Eswaran spent more of his time at the strategic layer talking about what's missing in AI. He talked a lot about their knowledge graph and the five components of their knowledge graph, and he went into that in some detail, which was quite good I thought. Those areas are security, which is really around posture management, governance, compliance, privacy, and resilience, bringing those all together in a knowledge graph so that organizations, tech pros, business leaders can visualize where the risks are. They can communicate through natural language processing to the system, identify exposures, and then I guess remediate in the sense of, where am I exposed? Let's take a snapshot so that we can recover and take a 7-day RPO down to five minutes. That was, I thought, pretty powerful. I have some thoughts on that, but take us through your thoughts initially.

Krista Case

>> Yes. Yeah, I agree. I think a couple of raw reactions to that, Dave. First, the fact that Anand spent so much time at the strategic layer, I think shows that practitioners today are trying to figure this out. The adoption of AI is disrupting security and resilience requirements very rapidly in real time, and customers are still figuring that out. So I think having a CEO like Anand up there talking strategy, I think makes a lot of sense. And then in terms of the new command graph that they're launching, I do like that it provides that single pane that touches on those five areas, as you mentioned. I think it's a very comprehensive view. I think it potentially will help Veeam to bring different stakeholders to the table and be able to start having more effective conversations around security, around resilience, because they'll have this visual way to see these five layers of the security and resilience model. And be able to really understand where the gaps and risks are, and again, be able to come to the table over that shared data.

Dave Vellante

>> I think Eswaran is right that there is a missing layer. I think they're attacking one piece of that layer. I would say just for context, we've been talking about this a lot on theCUBE and theCUBE Research, the real missing layer of the new software stack is the system of intelligence, what we would call the system of intelligence. And that's a layer that harmonizes data. And then there are, I'll call them harnesses, or they're scaffolding that connects into other areas like the LLMs. You can't just plug an LLM into a vectorized database and expect results. You've got to have a harmonization layer that interprets the data and the context, but also the processes. Okay, that is the missing piece of the new AI software stack. Veeam is not going to solve that. That's not their territory. Think of a Palantir ontology, but that's horizontal across any application or any workload. That's new territory and I don't think it's Veeam's role to solve for that. But what that is going to allow organizations to do, is to not only track in the database people, places and things, customer, region, products that are sold, logistics, where the product is that you just ordered, but also processes. And if you think about enterprise processes today, they are still stovepiped within the various systems of record. Your Salesforce, your ERP, your logistics system, etc, your HR, those all contain process logic, their own data and metadata, business logic. The promise of AI is to harmonize all those together and break down those silos. That sets up a new capability. So if you think about today though, how do we harmonize all that dissonance in the business? We sit down as humans, we have whiteboards, we have exceptions, we talk, we argue, we debate, we have spreadsheets, etc. Humans are doing that reconciliation. The promise of AI is it will do that reconciliation and it will capture the state of an enterprise in an enterprise knowledge graph. So the point I'm making is, will the future of data resilience and business resilience be on capturing that state of the enterprise and being able to recover that state and find granularity? In other words, taking continuous data protection to state of an enterprise where process knowledge is actually incorporated in that. They talk a lot, Veeam does, about context. Much of the context, if not most of it, is operational and technical metadata. Who has access to it? Who has its identity? Who touched the file? Where does the file live? How old is the file? All that kind of metadata. What it doesn't get to yet because nobody's really invented that layer, is that process knowledge. So I'd love your response to that. I mean, it's very futuristic, it's not here yet, but that seems to me to be the promise of AI.

Krista Case

>> Yes. Yeah, I agree, Dave. I think to your point, I'm not sure who exactly will protect that. I don't know that it's going to be a data protection company like Veeam, but I think when you think about it, as you reference, Dave, the institutional knowledge and ultimately the degree to which important business services will rely on that knowledge, and those organizations within the company operating smoothly together, that's going to be very important. And I think that's something that, as you're saying, we're seeing emerge with the use of AI. So I agree.

Dave Vellante

>> Veeam's a very practical company, right?

Krista Case

>> Right.

Dave Vellante

>> They generally don't announce products that they can't ship. They generally don't ship products that they can't sell.

Krista Case

>> Yes.

Dave Vellante

>> So if you announce the product to capture the state of the enterprise today, it would be a flop because there's no product market fit. Nobody really understands how to apply that to their business. They're just trying to figure out how to get agents to work. Like you said, you've got agents running around the organization, and that creates significant amount of risk. That's where Veeam's focus is today. So I think it's in the right place. But I think there are a lot of changes coming in the future. I mean, they talked about Mythos. They talk about OpenAI's announcement today. Those are things that are very rapidly changing. There's open source models coming out of China that are going to permeate the world. So the whole storage hierarchy is changing and that's going to have a ripple down effect on data protection. Your thoughts?

Krista Case

>> Yes. Yeah, no, absolutely, 100% it will. And like you say, it's going to be changing not only the processes, but also the underlying technology as well. That's going to need to be protected, and it certainly is changing the storage stack as well. So to your point, I think it's not quite where customers and practitioners are today. I think today they're trying to turn the lights on, so to speak, and understand how their company is using AI. They're trying to reduce all of this shadow AI risk that they have. So I think that's where they're at today and where they're going to be probably for the next 12 to 18 months or so at least. But with longer time, as we rely more on AI, I do think it will become more of a problem that will need to be solved. So maybe something to consider for the longer term roadmap.

Dave Vellante

>> Yeah. So we're here in Chelsea at VeeamOn 2026. You can see the keynote has just ended. The audience, the patrons are floating out here, having the lobbycon. TheCUBE is going to be here all day, wall-to-wall coverage. Dave Vellante for Krista Case. We'll be right back right after this short break. Thanks for watching.