
Neeraj Sabharwal, Forbes Councils Member
· 1 min read
Your Data Platform Is Not Your AI Security Strategy
Neeraj Sabharwal is Co-Founder at Trust3 AI, passionate about bridging the gap between business and technology.
Enterprises have spent a decade learning to secure their data. Who can query which table, what’s encrypted and who gets alerted when something looks wrong. Now that agents have access to that same data, the key question shifts to what they do with it.
Enterprise security leaders cannot find the answer in the data platform.
The Flawed Assumption Driving AI Failure
Data security programs took years and huge budgets to build. Access controls, encryption, role-based permissions: These are mature, well-understood disciplines. So when AI initiatives launch, it’s natural to assume the existing security stack has this covered, too.
It doesn’t.
Data security was designed to answer one question: who can read what. It was never built to define what agents can do, or under what conditions.
This distinction is the reason so many AI pilots that prove ROI in a sandbox never survive contact with production. The model works. The use case is validated. The project stalls at the security check.
Reading Data And Acting On Data Are Not The Same Risk
A traditional data breach is an exposure event. Someone accessed information they shouldn’t have. The damage is limited to what was seen.
An AI agent introduces a different risk category because agents act on data in addition to reading it. They initiate transactions, modify records and trigger downstream workflows, often without a human in the loop at the moment of action.
Consider a healthcare AI agent with access to patient records. Under a data security model, the relevant question is whether the agent’s access is authorized. But the outcome-defining question is: Can this agent update a diagnosis, alter a treatment record or trigger a billing action, and under what constraints?
Why The Governance Gap Kills Production
Agent Identity And Guardrails Are Not Optional Infrastructure
That model rests on four nonnegotiable components:
Original source
This story was published by Forbes: Innovation and written by Neeraj Sabharwal, Forbes Councils Member. SyncAI.news shows a preview; the complete article is on the publisher's site.
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