Generative AI can accelerate innovation, but only when every response respects safety, privacy and trust. In this session, we step into the control room of Amazon Bedrock Guardrails and see how purpose-built safeguards turn risky prompts, hallucinations and policy violations into confident, production-ready answers.

Bedrock Guardrails acts like a bouncer with a law degree: contextual grounding checks every fact against RAG sources to catch hallucinations before they surface, while automated reasoning translates corporate policy into formal proofs that block anything out of bounds.

Let's explore how versioned "guardrails-as-code" enables a single CloudFormation push to raise the safety bar without touching app logic, with real-time metrics and audit logs streaming straight into CloudWatch to spotlight every blocked prompt the moment it happens.

Join the journey and discover how to keep every generative path secure. After all, responsible AI is more than good practice — it's good architecture, and "Guarding the Generative Path" starts right here.