Type: url
Original: https://dev.to/aws/ai-agent-guardrails-rules-that-llms-cannot-bypass-596d
Status: generated
Summary
The post argues that an AI agent can report success for an operation that violated a business rule, and that this cannot be fixed by better prompting: a rule stated in a system prompt or a tool docstring is text the model interprets and re-decides on every call. Its proposal is to enforce such rules outside the model, in a framework hook that evaluates deterministic conditions before a tool executes and cancels the call when one fails, demonstrated with Strands Agents’ BeforeToolCallEvent. It sets out the approach’s limits in its own voice — rules must be written per operation, they are boolean, and they need maintenance as business logic changes.