Radius handles masking at the speed of your data pipeline. It works on real-time streams—Kafka, Kinesis, Pulsar—and applies consistent, rules-based masking without slowing throughput. This means customer names, credit card numbers, emails, API keys, and any defined sensitive fields are automatically protected while still passing the structure your apps need.
Unlike batch masking, Radius Streaming Data Masking operates inline. The system intercepts data in motion, applies transformations, and emits masked payloads with minimal latency. You can define rules using regex, JSONPath, or schema-based conditions. Masking can be reversible—using encryption for downstream authorized services—or irreversible for strict compliance with GDPR, HIPAA, or PCI DSS.
Integration is direct. The Radius SDK and connectors require no rewriting of producers or consumers. Masking happens at the edge of the stream, close to the source. You maintain throughput, preserve formats, and meet compliance objectives at once.