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Navveen Balani Making systems intelligent, efficient & responsible

From Zero Trust to Zero Assumption for Agentic AI systems.

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From Zero Trust to Zero Assumption for Agentic AI systems.

I believe this is the next evolution of enterprise security for Agentic AI.

Zero Trust transformed security by ensuring that no identity is trusted by default. But autonomous AI systems introduce a different challenge. An agent can authenticate successfully, operate within its permissions, and still make a sequence of decisions that creates business risk.

The question is no longer just:
Who is making the request?

It’s also:

Should this autonomous system perform this action, in this context, at this moment?

In the latest Technology Bytes, I introduce Zero Assumption—a proposed extension to Zero Trust where every autonomous decision must continuously earn trust before it is allowed to execute.

The article explores why the enterprise security perimeter is shifting from APIs to autonomous workflows, what an Agent Security layer should look like, and why Lean Agentic AI can improve not only efficiency but security as well.

If you’re designing, deploying, or governing AI agents, I’d love to hear your thoughts on whether this architectural direction resonates with you.

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