Enterprises choose
GitLab for DevSecOps

Continuous flow instead of context switching

Give teams everything they need to deliver software and manage AI agents in one place — so they can stay in continuous flow and avoid context switching and manual handoffs.

Integrated AI and multi-agent workflows across the SDLC

Move beyond individual AI coding assistants to team-level agentic workflows where multiple agents work in parallel with your engineering teams to tackle complex tasks across the entire software development lifecycle.

Automated pipelines that eliminate manual handoffs

GitLab's CI/CD is built directly into the platform, not bolted on as a separate tool. With customizable pipelines, reusable components from the CI/CD catalog, and AI-powered optimization that can automatically fix failing pipelines, teams coordinate complex multi-stage deployments with full visibility and control.

Built-in enterprise Agile planning

Organizations need software and product planning to be integrated with the rest of the development lifecycle versus treated like a siloed activity. GitLab's Enterprise Agile Delivery is built into the same DevSecOps platform that development, security, and operations teams use to develop and deploy software, creating a more efficient experience and improving time to market.

GitLab's unified data model provides complete context across the entire software development lifecycle — spanning project requirements, code, dependencies, security, compliance, testing, deployment, and operations in a single semantic data layer. Unlike fragmented toolchains where context is lost across disconnected systems, this comprehensive organizational context dramatically improves AI quality, delivering better accuracy, faster resolution, and fewer model requests while enabling architectural visualization.

GitLab Orbit connects your code, merge requests, pipelines, and deployments into one queryable graph that every agent reads from. Instead of loading raw files into context windows and inferring relationships, agents traverse a pre-indexed graph of how your software system actually works. Every agent reasons from the same first-party context, whether it's GitLab Duo at zero rate, a third-party agent connected through Model Context Protocol, or a developer querying in natural language.

Flexible deployment options for your organization’s guardrails

Modern enterprises need deployment flexibility — especially organizations with complex security, compliance, and regulatory requirements. Choose from on-premises, multi-tenant SaaS, or GitLab Dedicated, our fully managed single-tenant SaaS solution.

Security throughout the entire workflow

GitLab embeds comprehensive security directly into DevSecOps workflows, enabling continuous threat detection and vulnerability management throughout the entire software lifecycle rather than at discrete stage checkpoints. From SAST and DAST to dependency scanning, secret detection, container scanning, and fuzz testing, security operates as an integrated component of intelligent orchestration — not a bolted-on afterthought.

Privacy-first AI, with the right model for the right use case

AI can be complex. At GitLab, our approach is straightforward: your code remains your code, unused for training or fine tuning of our own models. Code suggestions do not use customer code, and since GitLab isn't commercially tied to any LLM provider, we match the right model based on your use case. Easily choose what works for you, or change when a model no longer aligns to your business or technology strategy.

End-to-end compliance and auditability

Security-specific tools that aren't used consistently fail to protect organizations and their customers. GitLab's comprehensive governance solution enforces requirements across all projects, separating developer and security/compliance teams. Using our policy editor, you can customize approval rules to meet your business' compliance needs and reduce risk.