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

· Source: GitLab · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Intermediate, medium

Summary

GitLab has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for DevSecOps Platforms, highlighting its role as an Intelligent Orchestration Platform for the software lifecycle. Southwest Airlines, a major customer operating 4,000 flights daily with a 3,000-person technology organization, is leveraging GitLab for its cloud-first ecosystem modernization. Southwest selected GitLab for its scalability, security, governance, and dedicated single-tenant SaaS offering, which allows application teams to focus on delivering business value. The airline is further investing in the GitLab Duo Agent platform to integrate agentic AI. This platform aims to solve problems like security scanning with automated CVE remediation, smarter renovate for Docker-based images, and automating approximately 90% of pipeline component upgrades, significantly reducing developer toil and potentially making tech debt a thing of the past.

Key takeaway

For Directors of AI/ML or MLOps Engineers evaluating DevSecOps platforms, GitLab's recognition as a Gartner Leader and its Duo Agent platform capabilities warrant attention. If you are seeking to accelerate software delivery while enhancing security and governance, consider how agentic AI can automate tasks like CVE remediation and pipeline upgrades. Your teams could significantly reduce toil and focus on business value, potentially eliminating much of your technical debt.

Key insights

Agentic AI platforms can automate security, upgrades, and tech debt, significantly reducing developer toil.

Principles

Method

The GitLab Duo Agent platform uses agentic workflows for security scanning, automated CVE remediation, smarter Docker image renovation, and pipeline component upgrades.

In practice

Topics

Best for: CTO, VP of Engineering/Data, AI Architect, Director of AI/ML, MLOps Engineer, Software Engineer

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by GitLab.