GitLab named a Leader in the 2... Note
GitLab

GitLab named a Leader in the 2026 Gartner® Magic Quadrant™ for DevSecOps Platforms

Gartner has recognized GitLab as a Leader in the DevSecOps Platforms Magic Quadrant for four consecutive years. The company asserts that software development has evolved beyond just coding, emphasizing the underlying platform's importance for speed and efficiency. While AI coding assistants have accelerated code creation, this has created downstream bottlenecks in pipelines, security, and deployments. GitLab believes the true challenge is transforming agent-produced code into reliable software through "speed with control."The current enterprise struggle involves balancing rapid delivery with governance, especially as AI agents multiply without robust management policies. GitLab positions itself as the integrated platform for planning, building, securing, and shipping software, acting as a control layer for the agentic era. It stress-tests changes against existing code and policies before they reach production.Established companies like Ericsson and Southwest rely on GitLab for scalable and reliable software delivery. GitLab offers consistent platform capabilities across SaaS and self-managed deployments, even in air-gapped environments, without compromising control. Gartner highlighted this parity and comprehensive AI functionality as strengths. The platform is also extensible, allowing integration with existing tools while maintaining a unified governance boundary.GitLab's commitment to enterprise-grade uptime is underscored by strengthened SLAs, including a 99.9% monthly availability guarantee for Ultimate customers. Recent innovations focus on machine-scale source code management, a context graph called GitLab Orbit to enhance AI model performance, and agents for security and governance. New agentic triggers automate task coordination, and flexible agreements allow for tailored spending. Ultimately, GitLab provides a single platform, context graph, and governance boundary for collaborative software development by both humans and agents.