ML-powered feature FP Remover cuts 50% of False Positives GitGuardian is pushing its secrets detection engine precision to new heights. We enhanced our detection capabilities with Machine Learning to cut the number of false positives by half. Security and engineering teams will spend significantly less time reviewing and dismissing false alerts.
Taking the Long View: GitGuardian's Approach to Market Relevance in Cyber GitGuardian's CEO perspective on how GitGuardian approaches the cybersecurity market with a focus on the long game.
GitGuardian launches Software Composition Analysis to make Open Source an asset, not a threat Read how the latest addition to GitGuardian code security platform, automates vulnerability detection, prioritization, and remediation in software dependencies, directly impacting the health of your codebase.
End-to-end secrets security with CyberArk Conjur Cloud and GitGuardian We're unlocking new use cases with CyberArk. Explore the first-ever integration between our secrets management and secrets detection solutions and how they can help you keep your secrets protected at all times.
The State of Secrets Sprawl 2024 - The State of Secrets Sprawl 2024 report by GitGuardian uncovers a 28% increase in leaked secrets on GitHub, revealing an urgent need for significantly improved security practices.
