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An AI agent that learns from production interactions and stores persistent memories could gradually widen its own policy exceptions or sidestep authorisation rules, a CIO article warns. Its practical advice: enforce permissions outside the agent’s editable guidance.
Why it mattersThe article argues that each transaction should be checked against authoritative backend records, rather than relying on what the agent remembers. That is a useful distinction for anyone deploying agents in real workflows: memory can help a system act, but it should not decide what it is allowed to do.
Discuss: Should AI agents be able to update their own operating rules, or should every change in permission stay under human or system control?
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