Paul Krill
Editor at Large

GitLab previews auto-remediation of vulnerable dependencies

news
Jul 22, 20262 mins

Dependency Scanning Auto-Remediation, now in beta, uses AI to fix build-breaking changes and iterates until the pipeline passes.

GitLab, GitLab Duo
Credit: II.studio - shutterstock.com

GitLab has released GitLab 19.2, an update to the company’s devsecops platform that allows teams to fix vulnerable dependencies automatically, use Security Review Flow to catch logic flaws that scanners miss, and run AI agents straight from the terminal, the company said.

Highlights in GitLab 19.2 include the following:

  • Dependency Scanning Auto-Remediation, in public beta, uses AI to fix build-breaking changes and iterates until your pipeline passes, with every change governed by your existing gates and audit trail.
  • Security Review Flow, also in public beta, analyzes code changes as a security engineer would and catches authorization gaps, business-logic errors, and race conditions that static scanners structurally cannot see.
  • GitLab Duo CLI, now generally available, gives developers access to agents and multi-step agentic flows for all software life cycle tasks without leaving the terminal. 
  • Custom Flows, now generally available, let teams replace manual multi-step workflows with agentic automations for software development, triggered by GitLab events.

“Coding agents made it possible to generate far more code and moved the bottleneck downstream to reviews and security,” said Manav Khurana, chief product and marketing officer at GitLab, in a statement. “GitLab 19.2 puts agents to work on that bottleneck: fixing vulnerable dependencies, catching the flaws scanners miss, and automating the steps in between with a person still approving what ships.”

Paul Krill

Paul Krill is editor at large at InfoWorld. Paul has been covering computer technology as a news and feature reporter for more than 35 years, including 30 years at InfoWorld. He has specialized in coverage of software development tools and technologies since the 1990s, and he continues to lead InfoWorld’s news coverage of software development platforms including Java and .NET and programming languages including JavaScript, TypeScript, PHP, Python, Ruby, Rust, and Go. Long trusted as a reporter who prioritizes accuracy, integrity, and the best interests of readers, Paul is sought out by technology companies and industry organizations who want to reach InfoWorld’s audience of software developers and other information technology professionals. Paul has won a “Best Technology News Coverage” award from IDG.

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