CrewCheck + Apache Kafka Integration
Integrate CrewCheck with Apache Kafka for DPDP-compliant AI governance. Step-by-step setup guide for event streaming integration with PII redaction and audit trails.
Overview
Integrate CrewCheck with Apache Kafka to add DPDP-compliant AI governance to your event streaming workflows. StreamGuard connects to your Kafka topics to apply governance controls to AI messages flowing through event streams. No changes to your existing Kafka producers or consumers.
Quick setup
``` KAFKA_BOOTSTRAP_SERVERS=your-kafka-cluster:9092 ```
Once configured, all Apache Kafka 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 Apache Kafka interactions
• DPDP Act 2023 compliance controls applied at the request boundary
• Real-time cost tracking in ₹ for every Apache Kafka API call
• Tamper-evident audit trail for regulatory reporting
• Shadow Mode to test governance controls before enforcement
• Dashboard visibility into Apache Kafka-specific metrics and compliance scores
Next steps
After setting up the Apache Kafka 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 Apache Kafka traffic if PII detection rates or costs exceed your configured thresholds.