CrewCheck + AWS Bedrock Integration
Integrate CrewCheck with AWS Bedrock for DPDP-compliant AI governance. Step-by-step setup guide for cloud llm provider integration with PII redaction and audit trails.
Overview
Integrate CrewCheck with AWS Bedrock to add DPDP-compliant AI governance to your cloud llm provider workflows. AWS Bedrock model invocations can be governed through CrewCheck's gateway, adding Indian PII redaction and DPDP compliance to your Bedrock workflows.
Quick setup
``` # Configure Bedrock client with CrewCheck proxy endpoint ```
Once configured, all AWS Bedrock traffic passes through CrewCheck's governance layer. Indian PII (Aadhaar, PAN, UPI, mobile numbers) is automatically detected and redacted. Policy packs are evaluated on every request. Every interaction is logged to the tamper-evident audit trail.
What you get
• Automatic Indian PII detection and redaction for all AWS Bedrock interactions
• DPDP Act 2023 compliance controls applied at the request boundary
• Real-time cost tracking in ₹ for every AWS Bedrock API call
• Tamper-evident audit trail for regulatory reporting
• Shadow Mode to test governance controls before enforcement
• Dashboard visibility into AWS Bedrock-specific metrics and compliance scores
Next steps
After setting up the AWS Bedrock integration, configure your policy packs in the CrewCheck dashboard. Start with Shadow Mode to observe detection rates and policy impacts, then promote to enforcement when you're confident in the configuration.
For production deployments, enable circuit breakers to automatically halt AWS Bedrock traffic if PII detection rates or costs exceed your configured thresholds.