Why multi-agent AI security is broken (and the identity patterns that actually work)

Multi-agent AI security is often compromised by shared credentials, leading to a lack of accountability and control. Effective security requires assigning unique cryptographic identities to each agent, issuing short-lived delegated access tokens, enforcing strict policy checks at tool boundaries, and maintaining detailed audit logs for every action. This approach ensures that agents can only perform authorized tasks and actions are traceable.

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