Securing AI agents: identity, not secrets

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Reviewed by Muthu · Essay · Last verified Oct 18, 2026 · Drafted Oct 17, 2026 by seed-import/1.0 · Re-check by Oct 17, 2027 · 1 source

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Overview

Agents act on their own, at machine speed, across many systems. Static credentials and perimeter thinking don’t hold up. Attested identity, explicit delegation and policy enforced outside the model do.¹

What it covers

• Agents are workloads, so give them workload identity
• What the MCP specification now gives you
• The toxic agent flow: when every identity check passes
• Context-aware access, enforced outside the model
• A practical checklist

Bottom line

Trust in agents starts with identity built for machines: attested, short-lived, delegated and checked by policy the model cannot argue with. The more capable agents become, the less optional this gets.

Sources

1. Securing AI agents: identity, not secrets · published May 29, 2025

See also

• Adopting MCP in a bank: the four risks to solve first - The Model Context Protocol standardizes how agents connect to tools and data. It is silent on whether they should. Four risk areas a regulated institution should resolve before agents get tools.
• Designing an enterprise MCP registry: the control point agents need - As agents multiply, every enterprise needs an authoritative directory of the tools they can call. What a governed MCP registry must do, what the official registry leaves to you, and the mistakes to avoid.

Footnotes

1. Securing AI agents: identity, not secrets, muthub.org, 2025-05-29. ↩