Browse articles from 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. Read Post
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.
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 
AI trends for 2025: Agentic AI, self-hosted models, and more
Discover coming trends in AI for software development, from on-premises model deployments to proactive AI assistants.
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.
AI/ML 
Modernizing a simple C++ application to Java with GitLab Duo
Learn how to refactor code from memory unsafe languages to memory safe languages with the help of GitLab's AI capabilities, saving time and effort on application modernization.
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