The stream never stops. Data surges in from every direction, raw and unfiltered, full of truths no one should see. If you move it fast enough, it can power everything. If you move it wrong, it can burn you.
Mosh Streaming Data Masking solves that problem without slowing your pipeline. It transforms sensitive data in motion, not at rest, so you can keep every system fed without leaking a single secret. No copies. No lag. No excuses.
When transaction logs, event streams, or real-time telemetry contain private information, masking must happen before it leaves the source. Batch jobs can’t keep up. Static anonymization leaves gaps. The only safe option is streaming data masking that operates inline, reshaping fields and values on the fly. Mosh handles structured and unstructured payloads, applying deterministic, format-preserving masking so downstream systems stay functional and testable.
Performance is the currency of streaming. Mosh runs with near-zero latency, parsing and rewriting messages at the edge or in transit. It supports common streaming stacks like Kafka, Kinesis, and Pulsar, and adapts to custom brokers. You can define masking policies with precision—match patterns, key names, or full schemas—and deploy them instantly. In one place, you can make sure regulated data never crosses unsafe boundaries.