
Agent Governance Should Link Every Rule to Evidence
Policies become credible when reviewers can see which events, relationships, and assumptions triggered them.
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Policies become credible when reviewers can see which events, relationships, and assumptions triggered them.

Compromising one agent can affect delegated tasks, shared memory, tools, counterparties, and decisions already in progress.

Managing each model independently misses risk that appears only when agents delegate, compete, and transact.

AI agents are not a standalone legal category, so accountability depends on the systems, providers, deployers, and uses around them.

A systems and game-theoretic framework for observing hidden coordination.
A plain-English guide to a new risk in networks of autonomous agents.
Published work and open questions on hidden coordination, incentives, and security in multi-agent systems.