Machine identities now outnumber human ones by more than 80 to 1.
That number includes service accounts, API keys, and a growing population of AI agents, each with its own set of permissions, and most with far more access than they actually need.
Here's the problem: identity security programs were built around people. Reviews, access certifications, and offboarding. all designed for a human on the other end of the account.
Agents don't fit that model. They're provisioned quickly, rarely reviewed, and often forgotten the moment a project ends.
The result is a form of exposure that most security teams can't yet see: a sprawling, unmanaged layer of non-human identities sitting atop sensitive data.
This is exactly the gap Varonis Atlas was built to close. Atlas continuously discovers every AI system in your environment, whether it's agents, LLMs, embedded AI, or shadow AI, and evaluates which data each can actually access.
You can't govern what you can't see.
That ratio isn't going to shrink. The question is: does your team know what your 80 are doing right now?