Shivam Tomar@Sivan

Leak Radar is a scalable, modular data-loss detection platform that continuously ingests repositories, feeds, and storage endpoints to discover exposed secrets, credentials, and other sensitive artifacts. It combines fast, configurable scanners with an ML-based classifier to prioritize real findings and reduce false positives, then applies a policy engine to enforce customizable rules and automated responses (alerts, tickets, or remediation hooks). Designed for cloud-native and on-prem environments, Leak Radar integrates with CI/CD pipelines, issue trackers, messaging platforms, and SIEMs, and produces audit-ready evidence with configurable redaction to protect privacy. Developers and security teams can extend detectors, add new sources, tune detection thresholds, and run retrospective or offline analyses. The result is faster detection, clearer prioritization, and automated workflows that reduce time-to-remediate and limit the blast radius of exposed secrets.

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