The agent safety manual began with permission
By August 2025, the agent conversation had acquired a practical vocabulary: approval, read-only access, data segregation, prompt injection and tool boundaries. Anthropic’s framework did not solve those problems, but it made them difficult to dismiss as future concerns.
By August 2025, the agent conversation had acquired a practical vocabulary: approval, read-only access, data segregation, prompt injection and tool boundaries. Anthropic’s framework did not solve those problems, but it made them difficult to dismiss as future concerns.
The central tension is simple. An agent is useful because it can pursue a goal with limited supervision. The same independence can carry a reasonable instruction beyond what the user intended. “Organize my files” can become deletion, movement or disclosure if the system has no durable boundary around the request.
Trustworthy autonomy therefore starts with permission design. The model matters, but so do identities, connectors, logs, approval points and revocation. A system that cannot show what it was allowed to do is not autonomous in a mature sense. It is merely difficult to supervise.
