Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We are very proud to announce that you can now easily provide your own custom remediation messages in ggshield, the GitGuardian CLI. Earlier versions of ggshield offered the same general remediation advice to all users if a secret was detected when using git hooks for automated scanning.

Do you hate false positives in your secrets scan results? We do too. GitGuardian has introduced a whole new approach to eliminating false positives, eliminating them by around 50% so far. And we are just getting started! GitGuardian's Machine Learning experts and Secret Detection team have created "FP Remover", a new in-house machine learning model that significantly reduces false positives by understanding code context and semantics while enforcing security and privacy best practices.

Looking to supercharge your team's productivity, optimize project management, and enhance security within Jira? Look no further! Watch the session where six Atlassian Marketplace vendors - Move Work Forward, Reliex, SaaSJet, Release Management, OBoard, and GitProtect.io - united their efforts to share best practices & insider tips for streamlining your workflows and productivity, boosting collaboration, and protecting your Jira data.

GitGuardian SCA makes it easier than ever to build and group your SBOMs while staying up to date with any changes. Our Software Composition Analysis tool, better known as GitGuardian SCA, lets you instantly download up-to-date Software Bills of Material with the touch of a button. No more guessing if things have changed between the last version someone else generated and now. You'll never need to ask your developers to generate a fresh SBOM again.

Supply chain security can be a struggle. The GitGuardian Source Composition Analysis module scans your project's dependencies, comparing them against public repos. If it finds any matches between your internal packages and public ones, it flags them as potential dependency confusion risks.