Is Your AI App Safe? Add Safety Checks to Your AI Application

A practical walkthrough for adding safety checks to an AI application, including common risk areas and concrete mitigation patterns you can integrate into your app’s pipeline.

Key Insights

• Defense-in-depth: Layer safeguards (input filtering, policy checks, and output validation) instead of relying on a single control.
• App-level safety: Treat safety as an application concern (not just a model concern) with checks around tool calls, retrieval, and responses.
• Operational readiness: Add monitoring and failure modes so safety checks are observable and don’t silently degrade user experience.