Hi everyone! This is my first post on Veeam Community Hub, and I’m really excited to share with you all a little bit about my summer. Since starting with Veeam this past June for my Product Strategy internship, I’ve been working through all Securiti AI’s public certifications including AI Security & Governance and Data Security Posture Management (DSPM) while also digging into Veeam’s products. One surprising part is how much those two things line up. But once I started looking at Veeam Intelligence through the perspective of what those certifications teach, I kept noticing a pattern showing up again and again.
What My Certifications Actually Taught Me
The AI Security and Governance certification covers how organizations manage the risk that follows when placing AI into real workflows, including data visibility, access control, and being able to build trust in your data that you can rely on what an AI system does with it. The core lesson is that an AI system is only as trustworthy as the data behind it. This means that it’s easy to plug an agent into your environment and tell yourself you’ll secure it later, but the problem is that by the time later comes around you’re asking what the agent can see or get ahold of, and the issue is it’s already touching it.
DSPM was the other certification I focused on, but this one was a bit different. DSPM or Data Security Posture Management is about knowing where your data lives, who or what can touch it, and the risk that is created with that. The concept that I want to note with everyone is known as “toxic combinations,” these are individual risks that look smaller on their own but get worse as they pile up or accumulate. Think about a file with personal information in it, that isn’t automatically a problem on its own. But that same file sitting in a folder with loose permission, being scanned by an AI agent that has broad, unrestricted access properly, that’s the combination that matters. You can’t catch that unless you understand your data, the access, and the activity connection.
The certifications taught me how to think about data visibility and risk. Veeam Intelligence, which is the AI layer built into Veeam Data Platform, is where I saw that logic showing up in Veeam’s products today.
It’s a shift in the question you ask yourself. Instead of just saying, “Can I recover my data if something happens,” Veeam Intelligence changes the question to “what’s actually happening in my environment, and what should I know about it before something happens?”
Data Understanding in Action
The Malware Threat Analysis Agent doesn’t just flag a backup job that looks anomalous – it helps you investigate it, shows what changed and how it lines up with known attack patterns. It gives you the context to understand what’s happening and figure out what to do next.
The Deep Data Analysis Agent approaches the same idea differently. Rather than making you dig through dashboards, capacity reports, and job histories yourself, it pulls that context together and surfaces the insight directly, closer to what DSPM is getting at when it talks about needing visibility into your data.
A New Incoming Model for Data Resilience
The traditional model was simple Protect to Recover. Back the data up, secure it, and be ready to restore it. That’s still necessary and nothing here is replacing that.
But it’s missing something, on its own it’s starting to fall short. With sensitive data being spread across systems that no one has a complete picture of and AI agents being able to read and act on that data, protecting everything the same way stops making sense. You end up over-securing things that aren’t top priority and under-securing things that do, because nobody’s entirely sure which is which.
The model that’s emerging is more Understand --> Protect --> Recover. Know what data you have, where it lives, and whether it’s trustworthy enough for AI to use – before deciding how strongly you need to protect it or how quick you need to recover it. Really, it’s the old model with a new first step added – one that used to get skipped.
With me wrapping up my internship and completing all four of Securiti AI’s certifications and my other internship projects, the takeaway for me is simple; The frameworks I was studying on paper were showing up in Veeam’s products. I was able to see them in and practice and that doesn’t feel like coincidence. Most organizations can already protect and recover their data well, but few can say with confidence what data they have, if it’s trustworthy, and what has access.
Veeam Intelligence through agents such as Malware Threat Analysis and Deep Data Analysis Agent are indicators where things seem to be heading – a resilience platform that’s starting to build understanding in as part of what it does. Data resilience still includes protection and recovery; it’s just picked up the step my certifications kept pointing back to which is understanding.
