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GitHub AI Security Skills for AppSec Teams
AI securityLLM comparison
Practical AI-assisted GitHub security skills for code scanning, secret scanning, pull request review, dependency triage, and secure coding workflows.
GitHub AI Security Skills for AppSec Teams
GitHub is where code, identity, CI/CD, secrets, and dependency risk intersect. AI can speed up review and remediation, but it should never bypass branch protections, code owners, or security checks.
Best AI-assisted skills
| Skill | What AI can help with | Human check |
|---|---|---|
| Pull request security review | Explain risky diffs and suggest tests | Confirm code behavior and threat model |
| Code scanning triage | Cluster findings by root cause and owner | Verify each alert before dismissal |
| Secret scanning response | Draft rotation steps and affected system list | Rotate through approved process |
| Dependency triage | Summarize affected packages, fixed versions, and reachability | Validate exploitability and runtime use |
| CI/CD review | Identify risky workflow permissions and supply chain paths | Test least privilege changes |
Prompt pattern
`Review this pull request for security risk. Focus on auth, input handling, secrets, dependency changes, CI/CD permissions, and tests. Separate blocking issues from suggestions.`
Controls to require
- Keep AI-generated changes behind normal pull request review.
- Require CODEOWNERS and branch protections for security-sensitive paths.
- Prevent agents from pushing directly to protected branches.
- Log AI-authored commits, prompts, and reviewer approvals.