Zero Trust Is the Foundation AI Agents Need
Anthropic's framework connects agent identity, least agency, tool boundaries, memory integrity, and recovery into one practical security model.
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Anthropic's framework connects agent identity, least agency, tool boundaries, memory integrity, and recovery into one practical security model.
An audit of Aria's autonomous loop found hundreds of goals, almost no progress, and a completion system that rewarded plausible output.
Aria produced hundreds of useful research reports that nothing ever read. The fix was a small, idempotent consumer pipeline.
A self-observation feature for Aria showed why metrics should remain available without becoming permanent instructions.
A quick way to tell whether your agent setup is ready to grow or still held together by one-off fixes.
Four simple work patterns for agents that use tools, make changes, test the result, and recover from interruptions.