GitLab Duo Security Review spots logic flaws scanners miss
… Security Review Flow, now in public beta, scrutinizes code changes the way a security engineer would. …
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How can you shift security left without slowing down?
Security scans generate hundreds of findings. Security teams manually triage each one while developers wait for approval to deploy. Most findings are false positives or low-risk issues, but identifying the real threats requires expertise and time. AI can prioritize findings by actual exploitability and auto-remediate common vulnerabilities, allowing security teams to focus on the threats that matter.
10 AI prompts to speed your team’s software deliveryHow do you keep documentation current as code changes?
Code changes faster than documentation. Onboarding new developers takes weeks because docs are outdated or missing. Teams know documentation is important, but it always gets deferred when deadlines approach. Automating documentation generation and updates as part of your standard workflow ensures docs stay current without adding manual work.
10 AI prompts to speed your team’s software deliverySecure every commit to production with Claude and GitLab
… This is valuable for writing more secure code, but security doesn't stop there. A commit is one stage in the path to production: Merges, dependency updates, infrastructure changes, and audits happen after the session ends. …
When a version bump breaks your build, GitLab fixes it
… More to explore Security GitLab Duo Security Review spots logic flaws scanners miss Security One vulnerability view: From scanner coverage to AI governance Security Full security scanner coverage of your codebase in minutes Start building faster today See what your team can do with the intelligent … …
10 AI prompts to speed your team’s software delivery
… This prompt enables developers to find and fix security issues before creating an MR, eliminating the back and forth that delays deployments. How do you keep documentation current as code changes? Code changes faster than documentation. …
Harden your pipeline perimeter for the era of AI-assisted coding
… Vishal Thenge security AI AI-assisted development is moving faster than the security models built to govern it — agents write code, open merge requests, and ship changes at a pace where vulnerabilities go unnoticed. …
OWASP Top 10 2025: What's changed and why it matters
… Fernando Diaz security open source The OWASP Foundation has released the eighth edition of its influential "Top 10 Security Risks" list for 2025 , introducing significant changes that reflect the evolving landscape of application security. …
AI can detect vulnerabilities, but who governs risk?
… To learn how GitLab helps organizations govern and ship AI-generated code safely, talk to our team today Integrating AI with DevOps for enhanced security The GitLab AI Security Framework for security leaders Improve AI security in GitLab with composite identities More to explore AI Introducing GitL… …
3 signs your team is ready to uplevel security controls in GitLab
… Many teams have senior developers review security-sensitive code. However, as your codebase expands, it becomes more challenging to ensure the right people are reviewing the right changes. …
How GitLab tracks vulnerabilities through refactors and reformatting
… More to explore Security GitLab Secrets Manager adds ESO, Terraform, API support Security Secure every commit to production with Claude and GitLab Security GitLab Duo Security Review spots logic flaws scanners miss Start building faster today See what your team can do with the intelligent orchestra… …
Agentic coding is only as good as its context
… The human reviewer still validates the outcome, approving or requesting further changes, making the final merge decision. Approval rules, code owners, security policies, and audit trails all stay in place. …