Find code and dependency risks and review AI-generated remediation
Corgea is an application security platform that analyzes development assets and proposes remediation within an engineering workflow. Its current offering goes beyond a single code scanner, bringing together AI-assisted static analysis, dependency checks, secret detection, infrastructure configuration analysis and container scanning. The aim is to make findings actionable for the people maintaining the affected application.
The AI SAST offering emphasizes business-logic and authorization problems as well as more conventional code weaknesses. Dependency analysis and reachability information help a team decide which issues deserve attention in the context of its own application. These findings still require technical review: a proposed vulnerability must be understood against the application's behavior, deployment and intended permissions before a fix is accepted.
Corgea integrates with major source-control services and development environments. Proposed changes can enter a pull-request workflow, allowing developers to inspect the patch and run their own tests. This is useful when a security team needs a reproducible review process rather than a separate list of warnings. Features such as API access, webhooks and reporting are plan-dependent, so they should be checked before designing a wider automation around the service.
The free plan has explicit limits on team size, repositories, pull-request scans and automated fixes. Paid plans are priced per contributing developer with minimum seat counts, while enterprise requirements are scoped separately. Start with a representative repository and check language coverage, false positives, suggested fixes and build results. Review what code is shared and which permissions the integration receives. Automated analysis can improve the speed of triage, but it is not a guarantee that an application is secure or that every generated remediation preserves business behavior.
