Securing AI Agents and Non-Human Identities – CloudTweaks
How do you secure AI agents and non-human identities? The short answer: treat their identities the same way you’d treat any other non-human identity – scoped, credentialed, monitored, and revocable – then layer on the extra controls that agents specifically need because they call tools and chain actions in ways ordinary service accounts do not. The model itself is not the whole risk surface. The identity behind it, and what that identity is allowed to do, is where much of the exposure lives.
That framing matters because security conversations about AI can drift toward alignment, model safety, or output filtering. Those are real concerns, but they are a different problem. This piece is about the identity lifecycle: provisioning, authentication, scoping, secrets handling, monitoring, and revocation, in that order, because that is where a distinct class of failures shows up.
What even counts as a non-human identity, and why is the...
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