𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐞𝐫𝐞 𝐭𝐡𝐞 𝐕𝐞𝐞𝐚𝐦 𝐚𝐧𝐝 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐢 𝐀𝐈 𝐬𝐭𝐨𝐫𝐲 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐜𝐨𝐧𝐜𝐫𝐞𝐭𝐞.
Over the past four weeks I’ve outlined the gaps that DSPM addresses:
Unclassified unstructured data. Secondary data outside the governance boundary. Static classification that drifts. Entitlement risk that moves faster than audit cycles.
These aren’t theoretical gaps. They’re the gaps that turn AI deployments from competitive advantages into liability events.
In February 2026, Veeam introduced Agent Commander, the first integrated product from Veeam’s acquisition of Securiti AI. It’s delivered through the Securiti Data Command Center and it’s worth explaining what it actually does, because it’s more specific than most “unified platform” announcements.
Agent Commander does three things:
Detect AI risk. Using the Data Command Graph, a real-time relational intelligence engine, it maps relationships between data, identities, AI models, and autonomous agents across production and backup environments. It surfaces shadow AI deployments, sensitive data exposure, and access combinations that create regulatory or privacy risk. Not as isolated alerts. As connected context.
Protect AI systems. It enforces policy across data and agents based on live classification and entitlement state. When data classification changes, governance controls adjust automatically. Agents are prevented from touching what they shouldn’t, and the system knows when something that looked legitimate last week looks risky today.
Undo AI mistakes. This is the capability that only exists because of the Veeam half of the equation. When an AI agent takes an action it shouldn’t (modifying data, executing a transaction, triggering a downstream process) Agent Commander can reverse those actions surgically. Not a full restore. A precise rollback of exactly the right changes to exactly the right data.
The combination matters. Classification without recovery is incomplete governance. Recovery without classification is blind restoration. The platform brings them together.
I’ve spent the last several months talking to CISOs about where their AI governance programs are breaking down. The most common answer: visibility and recovery are in separate systems that don’t share context. Agent Commander is built specifically to close that separation.
What’s your current approach to AI incident response and rollback?
