Mosh PII Detection: Real-Time Protection Against Data Leaks

Data leaks don’t announce themselves. They hide in payloads, logs, and unassuming fields until it’s too late. Mosh PII Detection cuts through the noise to expose them before they reach production.

Mosh PII Detection is built to identify personally identifiable information—names, emails, addresses, SSNs, and more—across structured and unstructured data streams. Its detection engine runs in real time, using deterministic and probabilistic matching to catch both obvious matches and subtle patterns. This means fewer false negatives and tighter control over sensitive data flow.

Integration is straightforward. You can deploy Mosh PII Detection as an inline API, a streaming processor, or a batch scanner over your existing datasets. It supports JSON, CSV, plain text, and even nested formats. Detection rules are customizable, allowing you to define what qualifies as PII in your environment. When a match is found, Mosh can return redacted results, trigger alerts, or block the data entirely.

For teams under compliance requirements like GDPR, CCPA, or HIPAA, this is not just a feature—it’s a shield. Automated scanning reduces human oversight errors and helps meet regulatory standards. It also provides audit logs for verification, delivering evidence that PII was detected and handled according to policy.

Performance matters. Mosh PII Detection is optimized for low-latency inspection in high-throughput environments. Bulk scanning millions of records or inline checking API requests doesn’t bottleneck your operations. Its core engine is built for speed and accuracy, without sacrificing either.

The detection capabilities extend to custom regex patterns, dictionaries, and ML-based classifiers for more complex identification. This makes it effective against both common and domain-specific PII. All of this is accessible via a clean REST interface or SDKs for rapid integration.

Data leaks are not theoretical risks; they are operational crises. Mosh PII Detection is a practical, fast, and reliable solution to stop them. See it in action now and deploy in minutes at hoop.dev.