Amazon Bedrock Guardrails announces new API for agentic AI workflows
Amazon Bedrock Guardrails now offers the InvokeGuardrailChecks API, allowing users to apply individual safeguards at any point in agentic AI applications without creating guardrail resources. The API provides granular control over which safeguards to run at each step, returning severity and confidence scores for custom thresholds and actions.
Amazon Bedrock Guardrails now offers the InvokeGuardrailChecks API, a new resourceless API that allows you to apply individual safeguards at any point in your agentic AI applications without creating guardrail resources. The API provides granular, per-request control over which safeguards to run at each step of your agent loop, returning numeric severity and confidence scores so you can implement custom thresholds and actions, whether to block, pass, retry, or log based on your specific requirements. Agentic AI applications operate through iterative loops, and each step carries a different risk profile. The InvokeGuardrailChecks API operates in detect-only mode with no guardrail IDs to track and no versions to manage. You specify which safeguards to run directly in each request. The API supports content filters, prompt attack detection, and sensitive information filters. Prompt attack detection is exposed as a separate safeguard. The InvokeGuardrailChecks API is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (London), Europe (Stockholm), Asia Pacific (Tokyo), and Asia Pacific (Sydney).