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Corgea

AI-native AppSec that finds and fixes vulnerabilities

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Corgea is an AI-native application security platform that uses LLMs to scan, triage, and automatically fix security vulnerabilities in code. Unlike traditional SAST tools that only detect issues, Corgea focuses on the remediation phase by generating context-aware fixes for vulnerabilities, significantly reducing the time engineering teams spend on security backlog while providing contextual PR reviews and IDE integrations.

Corgea addresses the biggest bottleneck in application security: not finding vulnerabilities, but fixing them. The platform uses AI to generate context-aware fixes for security issues, understanding not just the vulnerability pattern but the surrounding business logic and coding conventions. This means generated patches are more likely to be correct and maintain existing functionality, reducing the review burden on security teams.

The platform covers the full spectrum of application security including SAST scanning for code-level vulnerabilities, detection of business logic flaws that traditional scanners miss, container security scanning, and infrastructure-as-code analysis. Each finding is triaged by severity with AI-generated explanations of the risk and a proposed fix. Integration with GitHub, VS Code, and other developer tools ensures fixes flow directly into existing workflows.

Corgea positions itself in the growing AI-native AppSec category where remediation speed matters more than detection volume. The platform is actively maintained with frequently updated fix templates covering new vulnerability patterns and frameworks. Enterprise-focused pricing reflects the platform's target audience of security-conscious engineering organizations managing significant codebases.

Pricing

Paid; enterprise-focused with demo available

Platforms

GitHub, VS Code, CI/CD pipelines

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