Agentgg

AgentGG is an agentic static application security testing platform that runs AI security agents on every repository and pull request. Instead of matching text patterns like traditional SAST, its agents read the surrounding code, follow imports and confirm a problem is real before flagging it, aiming to reduce false positives and find bugs specific to a product, framework and organization. It is built for engineering and security teams on GitHub. Teams install the GitHub App and pick repositories, or scan a ZIP file or git URL directly. Scans run automatically on each pull request and return findings as a GitHub check with inline comments on the affected lines before merge, while full repository scans provide an on demand baseline. Findings are validated, CVSS scored and deduplicated, and the team triages them in one dashboard with organization roles, workspaces and filters by severity, verdict or agent. Every scan runs on an open source CLI, and the agents are readable markdown files reviewed and versioned like code. A processing layer turns a customer's past security reports, pentest findings and product context into custom agents that are tested against real historical bugs and then run on every change across every repository. Pricing is quote based. The vendor says it depends on the number of repositories, scan cadence and custom agent needs, is quoted per team, and passes on savings from running inference at volume. Custom agent building is offered as a guided service. Interested teams book a demo. The vendor publishes the vulnerabilities its agents find in open source projects as public security advisories, reported privately to maintainers first and disclosed once a fix ships.