Security and compliance

Only GitLab provides AI throughout the software development lifecycle to help developers write more secure code — from AI-powered code suggestions and vulnerability explanations to AI-assisted generation of merge requests containing the changes required to mitigate vulnerabilities.

Create a seamless experience for users to access security capabilities across the software development lifecycle — instead of logging in to multiple separate tools, teams can authenticate into one secure platform.

Empower developers to proactively identify and remove leaked secrets in issue and epic descriptions to prevent credentials and other sensitive information from being visible to potential attackers.

Scan commits for secrets in the IDE before pushing to production and pull security findings into the IDE after pipelines run — so developers don’t have to switch to a different tool to identify and fix vulnerabilities.

Identify and remediate API vulnerabilities before they make it to production to make APIs safer and reduce data breach risks.

Use security policies to require specific security scans to run, or to ensure that particular security, legal, or compliance requirements are met before a merge request can be merged into the default branch.