Your AI Agent Is a Data Leak

I’ve seen teams treat enterprise AI agents like harmless chat wrappers, then quietly wire them into customer data, internal APIs, and production tools.

That’s the moment the risk changes: every prompt becomes a data transfer, and every untrusted input becomes a possible exfiltration path.

Here’s what you actually need to do about it.

The Day a Prompt Became a Security Boundary

There’s a version of an AI agent that’s basically a fancy autocomplete. And then there’s the version teams are actually shipping — connected to CRMs, internal databases, codebases, ticketing systems, and operational APIs.

Those two things are not the same risk profile.

When an agent reasons over mixed-trust inputs and can trigger real actions, the attack surface expands in ways that traditional SaaS integrations don’t. A SaaS tool has a defined integration contract. An LLM reasons over whatever you put in its context window — and that reasoning can be manipulated.

Here’s the mindset shift that matters: calling an LLM API is not just inference. It is a cross-boundary data movement event. Every piece of information in that context window leaves your perimeter, transits the provider’s infrastructure, and gets processed on their…