Corgea
FreeFind, triage, and fix insecure code—automatically with Corgea.
About Corgea
Corgea is an AI-native application security platform designed to help development and security teams automatically find, triage, and fix insecure code. It uses a private, fine-tuned AppSec large language model (LLM) to analyze code across more than 20 programming languages, reducing false positives and integrating with existing SAST/SCA tools, IDEs, and CI/CD pipelines. The platform aims to deliver enterprise-grade remediation while emphasizing privacy by design.
Beyond static analysis, Corgea offers a broader suite of security scanning capabilities, including dependency scanning, infrastructure-as-code (IaC) scanning, container scanning, secrets scanning, code quality scanning, SBOMs, license enforcement, and attack surface mapping. It also provides an AI-powered penetration testing feature and a security design review service. The platform is designed to replace fragmented scanners with a single control plane, and it includes developer-focused features such as agent-ready fixes and integration with IDEs like Visual Studio Code.
Corgea is trusted by thousands of developers and has been proven on large codebases, including those in energy and finance. The platform offers a free tier (no credit card required) and appears to provide findings within minutes. It also includes a feature for scanning feature branches and pull requests, and it can generate review-ready fixes with high confidence thresholds.
Key Features
Pros & Cons
- AI-native approach reduces false positives and automates fixes
- Broad scanning coverage: SAST, dependencies, IaC, containers, secrets, and more
- Integrates with existing developer workflows (IDEs, CI/CD, version control)
- Free tier available with no credit card required; first findings in minutes
- Privacy by design with a private, fine-tuned LLM
- Trusted by thousands of developers and proven on large codebases
- Free tier likely has usage limits that should be verified
- Output quality depends on the underlying LLM and may vary by codebase
- Requires integration setup with existing tools and pipelines
- Enterprise features may require a paid plan; exact pricing not specified
- AI-generated fixes may still need human review before deployment
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