For the past four weeks I’ve been talking about ROT data: why it undermines your AI, why it’s a financial and compliance liability, and why it’s harder to fix than most people expect.
Today I want to talk about how you actually solve it at scale.
When I joined Veeam as Field CTO for the Americas, one of the first things I dug into was our acquisition of Securiti AI. And honestly? It reframed how I think about this entire problem space.
Securiti is a Data Security Posture Management (DSPM) and AI trust platform. That description alone doesn’t fully capture what it does. In practice, it’s a unified command center for your entire data estate:
→ Discovers and classifies data across your full environment: cloud, SaaS, on-prem, hybrid
→ Identifies what’s redundant, obsolete, or trivial at scale
→ Enforces data governance and access controls so the right people reach the right data
→ Manages privacy and compliance obligations automatically
→ Provides AI trust capabilities so you know what data your AI models are touching, and whether it’s safe and governed
That last dimension is increasingly critical. It’s not enough to clean your data once. You need continuous visibility into how AI agents are accessing and reasoning over your data in real time.
Most organizations trying to tackle data hygiene are doing it manually: spot checks, heroic IT efforts that don’t scale. Securiti brings intelligence and automation to a problem that’s too large for humans alone.
Veeam completed the acquisition of Securiti AI in December 2025. I’ll be going much deeper on DSPM, AI data governance, and privacy engineering in future posts. Each of these deserves its own conversation.
But if data readiness is something you’re actively working through, I’d genuinely love to connect.
