Corgea | Application Security Platform
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Detail Information
What
Corgea is an application security platform that combines detection, triage, and remediation for insecure code, dependencies, infrastructure as code, containers, secrets, and software supply chain risks. It appears to serve security teams and software engineering organizations that want one workflow spanning code review, prioritization, and fix generation rather than a set of separate scanning tools.
The platform is positioned as an AI-native, remediation-focused AppSec product. Based on the page, its core workflow centers on finding higher-risk issues, identifying what is reachable or exploitable, and delivering review-ready fixes inside developer workflows such as pull requests, IDEs, and source control systems.
Features
- AI SAST with fix generation: Performs static analysis aimed at higher-signal findings and proposes precise fixes for risky code paths, helping teams address issues earlier in development.
- Reachability-aware dependency scanning: Identifies vulnerable packages and adds upgrade guidance with exploitability context, which helps teams prioritize package risk more safely.
- IaC and container scanning: Checks infrastructure as code for cloud policy issues and scans container images for deploy-time risk, giving teams earlier visibility into infrastructure and runtime exposure.
- Secrets scanning and code quality scanning: Detects exposed credentials and enforces maintainable coding patterns, supporting both security hygiene and developer standards in one workflow.
- Attack surface mapping: Maps publicly reachable endpoints to vulnerable code and packages, which helps teams focus remediation on issues that attackers can likely reach.
- Developer workflow integrations: Works with GitHub, GitLab, Azure DevOps, Bitbucket, selected IDEs, and MCP-based workflows so security review and remediation can happen where developers already work.
Helpful Tips
- Validate signal quality in your own codebase: The page emphasizes fewer missed issues and accurate fixes, but the visible metrics are not substantiated with methodology here, so a proof-of-value should test finding quality and fix acceptance rates on real repositories.
- Start with high-friction use cases: Products like this tend to show the clearest value in areas where teams struggle with noisy SAST results, dependency backlog, or remediation delays in pull requests.
- Define human review boundaries for auto-fixes: Even when fixes are review-ready, security and engineering teams should set approval rules for business logic, authentication, authorization, and infrastructure changes.
- Use reachability and attack-surface context to tune triage: If the platform can truly connect public routes to vulnerable code and packages, that context should shape remediation SLAs and backlog prioritization.
- Assess workflow fit across AppSec and engineering: Since Corgea spans scanners, remediation, and developer experience, adoption will depend on whether security teams, platform teams, and developers can share a common operating model.
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