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AI/ML
The GitLab AI Security Framework for security leaders
Discover how GitLab Duo's security controls, third-party integrations, and retention policies help teams safely implement AI into their development workflow.
AI/ML
GitLab Duo Self-Hosted: Enterprise AI built for data privacy
Customers in regulated industries can now deploy GitLab Duo on self-managed infrastructure, leveraging the power of generative AI while helping to address data residency and privacy concerns.
AI/ML
GitLab Duo Workflow: Enterprise visibility and control for agentic AI
Secure, autonomous, context-aware AI agents take on complex tasks, freeing developers to ship innovative software faster. Private beta waitlist now open.
AI/ML
How GitLab uses prompt guardrails to help protect customers
Learn what prompt guardrails are, how they help mitigate security risks, and what unique considerations GitLab has taken into account when implementing them.
Security
Improve AI security in GitLab with composite identities
Learn how to implement AI features responsibly by applying authentication best practices with service accounts for AI agents in GitLab.
AI/ML
DevSecOps + Agentic AI: Now on GitLab Self-Managed Ultimate on AWS
Start using AI-powered, DevSecOps-enhanced agents in your AWS GitLab Self-Managed Ultimate instance. Enjoy the benefits of GitLab Duo and Amazon Q in your organization.
AI/ML
Automating with GitLab Duo, Part 3: Validating testing
Discover what test we ran to validate the impact of GitLab Duo on our team’s automated testing – and the results we achieved.
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