Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

GitGuardian - protect your enterprise against leaked secrets and mismanaged identities.

We allow organizations to discover and remediate exposed Secrets as well as manage NHIs lifecycle across both their internal network and public perimeter (for ex over permissioned, stale secrets, secrets in multiple vaults…). Our unrivaled secrets detection engine is trained and backtested in real-time against +5Bn commits and used by more than 600k developers, it is also the n°1 app on the GitHub Market place. GitGuardian integrates natively with the SDLC (GitHub, Gitlab…) but also with other data sources such as Jira, Slack, ServiceNow, Docker, as secrets leak in all these environments.

Introducing GitGuardian's Generic Secrets Enricher

GitGuardian is proud to introduce our new Machine Learning-powered Generic Secret Enricher, helping all customers quickly understand the origin and type of discovered generic secrets. The 2025 GitGuardian State of Secret Sprawl report shows that 58% of all detected secrets fall into the generic category.

GitGuardian Report: 70% of Leaked Secrets Remain Active for Two Years, Urging Immediate Remediation

GitGuardian releases its comprehensive "2025 State of Secrets Sprawl Report," revealing a widespread and persistent security crisis that threatens organizations of all sizes. The report exposes a 25% increase in leaked secrets year-over-year, with 23.8 million new credentials detected on public GitHub in 2024 alone. Most concerning for enterprise security leaders: 70% of secrets leaked in 2022 remain active today, creating an expanding attack surface that grows more dangerous with each passing day.

From Confidence to Competence: The Reality of Secrets Management

The confidence gap in secrets management is real: 75% of organizations feel secure while only 44% of developers follow best practices. Discover what security experts reveal about remediation challenges, responsibility issues, and practical solutions for protecting your most sensitive credentials.

Kubernetes Secrets: How to Use Them Securely

Storing sensitive values is a problem as old as software itself. In 2016, Uber experienced a massive data breach that exposed 57 million users’ personal information—all traced back to a hardcoded AWS credential discovered in a GitHub repository. While we have successfully established that hardcoding secrets such as API keys and passwords is bad practice, correctly storing them is a different story, and the issues from 2016 are still prevalent today (8 years later…).