What happens when vulnerabilities are discovered faster than you can fix them?

GitLab argues that growing exploitation of vulnerabilities and slower remediation require security teams to integrate autonomous AI agents directly into software delivery workflows rather than use them as isolated tools. It highlights GitLab’s use of Anthropic’s Claude Mythos 5.1 in its Business Logic Security Analyzer to identify complex authorization and business-logic flaws, while GitLab Orbit and the Duo Agent Platform provide lifecycle context, prioritize exploitable findings, generate fixes, validate them through pipelines, and present results for review in merge requests. The approach emphasizes centralized policy enforcement, scanning, approval gates, dependency controls, secrets isolation, agent permission limits, temporary sandboxes, and audit records to ensure that both human- and AI-generated changes meet security requirements. GitLab positions trusted execution within the “software factory” as essential for reducing the time from vulnerability discovery to tested, production-ready remediation, and offers qualifying teams access credits for several of its security products.

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