Automate remediation with ready-to-merge AI code fixes (opens in new tab)
GitLab 18.11 makes Agentic SAST Vulnerability Resolution generally available, using AI to analyze vulnerabilities, generate code fixes, test them, and open ready-to-merge merge requests. The release aims to reduce developer context switching and AppSec triage while addressing vulnerabilities before production. It also adds faster scanning, risk-based prioritization, and stronger security governance.
Automated Remediation in the Developer Workflow
- Confirmed SAST true positives automatically enter GitLab Duo Agent Platform’s remediation flow.
- The agent:
- Analyzes the vulnerability in context.
- Generates a root-cause fix.
- Validates the change with automated tests.
- Developers receive a ready-to-merge MR with a confidence score.
- Incremental scanning for Advanced SAST provides results before a complete scan finishes.
- The approach addresses the growing remediation burden as AI-generated code increases vulnerability volume.
Prioritizing Vulnerabilities by Business Risk
- Vulnerability scoring now uses CVSS 4.0 for more detailed exploitability assessment.
- Policy-based severity overrides can use:
- CVE information.
- CWE classifications.
- File paths and directories.
- Approval policies can block or warn on merges based on:
- Known Exploited Vulnerabilities (KEV).
- EPSS score thresholds.
- The Top CWEs dashboard chart helps teams identify recurring vulnerability classes and address systemic causes.
Security Controls and Scanner Coverage
- The new Security Manager role gives security teams permissions to:
- Enforce scanners.
- Configure security policies.
- Manage triage and remediation.
- Maintain compliance frameworks and audit streams.
- The role excludes code modification and deployment permissions, keeping access appropriately scoped.
- SAST configuration profiles allow teams to define scanning centrally and apply it across group projects without maintaining project-level YAML or relying on developers for configuration.
GitLab 18.11 combines agentic remediation, faster and more risk-aware scanning, and centralized governance. Organizations seeking to reduce vulnerability backlogs can use these capabilities to automate routine fixes while preserving developer oversight through merge requests and confidence scores.