PII Catalog Sidecar Injection

PII Catalog Sidecar Injection is a method to attach real-time detection and classification of Personally Identifiable Information (PII) into any running service. It works without modifying core application code. You run a sidecar container alongside your app. It intercepts data streams, scans payloads, and pushes matches into a centralized PII catalog. No downtime. No redeploy.

The sidecar model uses namespace isolation and lightweight network hooks. It can watch HTTP requests, gRPC messages, Kafka topics, or any structured/unstructured transport within the service mesh. As classified records are detected—names, emails, IP addresses, account IDs—they’re tagged, normalized, and indexed in the catalog. This enables instant queries across sources and precise compliance reporting.

The injection process is minimal: provision the sidecar image, point it at your catalog API endpoint, mount a configuration that defines match rules and data sources. Its scanning engine runs continuously, emitting structured findings in JSON. You can feed those directly into audit systems, alert pipelines, or masking services.

For security teams, the benefit is obvious. No slipping through unmonitored paths. For engineering teams, it means zero-impact observability. Compliance officers get a live map of where critical data lives, moves, and mutates.

The PII Catalog Sidecar Injection approach is built for environments where speed, accuracy, and uptime matter. It surfaces hidden PII in transit and at rest, integrates with distributed architectures, and scales horizontally with your workloads.

Deploy it once, and every new service in the mesh gets the same coverage. Update match rules in the catalog and the sidecars pick them up without a restart. The detection net grows as your services grow.

Ready to see it in action? Spin up PII Catalog Sidecar Injection in your stack with hoop.dev and watch results stream in minutes.