AI Governance Policies Part 1: Bedrock Guardrails Across Your AWS Organization
Teams are adopting Bedrock and AI based workloads faster than organizations can set up the security around it. Development teams building customer-facing interfaces on top of Bedrock don’t always have the context or the time to configure guardrails properly. Someone builds an internal chatbot that leaks PII in responses. Another team’s agent gets jailbroken into ignoring its system prompt. A third has a model generating content that violates company policy. Each team is responsible for their own guardrails, and some haven’t set any up at all.