Corgea

Product Introduction

1. Corgea is an AI-powered developer platform designed to automatically detect, triage, and fix insecure code in real time during the software development lifecycle. It integrates static application security testing (SAST) with machine learning to identify vulnerabilities that traditional tools often miss.
2. The core value of Corgea lies in its ability to reduce security risks while maintaining development velocity by automating vulnerability remediation and minimizing false positives. It enables engineering teams to focus on feature development rather than manual security reviews.

Main Features

1. AI-Powered SAST: Corgea uses advanced AI models to perform static code analysis, identifying complex vulnerabilities like business logic flaws, authentication gaps, and malicious code patterns that conventional SAST tools overlook. The system continuously learns from codebases to improve detection accuracy.
2. Automated Fix Generation: The platform generates ready-to-merge code patches for validated vulnerabilities, which developers can review and approve directly in GitHub or Azure DevOps. This reduces remediation time by providing context-aware fixes tailored to the project’s architecture.
3. False Positive Triage: Corgea’s AI automatically filters out up to 30% of false positives by analyzing code context and historical data, ensuring developers only address legitimate security issues. This eliminates noise in security reports and streamlines workflow prioritization.

Problems Solved

1. Corgea addresses the inefficiency of traditional SAST tools, which often flood teams with false positives and fail to detect critical business logic vulnerabilities. This reduces the risk of shipping exploitable code and minimizes post-deployment security incidents.
2. The product targets development teams, security engineers, and DevOps professionals in organizations that prioritize secure coding practices but lack resources for manual code reviews. It is particularly relevant for fast-moving startups and enterprises with large, complex codebases.
3. Typical use cases include pre-commit vulnerability scanning, CI/CD pipeline integration for automated security checks, and enforcing compliance with organizational security policies through blocking rules that prevent non-compliant code from being merged.

Unique Advantages

1. Unlike traditional SAST tools, Corgea combines static analysis with AI-driven contextual understanding to detect vulnerabilities specific to a project’s business logic, such as flawed payment processing workflows or data access control errors.
2. The platform’s natural language policy engine allows teams to define custom security rules without writing proprietary code, enabling non-technical stakeholders to contribute to security configurations. This flexibility supports unique organizational requirements.
3. Competitive advantages include native integration with developer environments (e.g., IDEs, GitHub), SOC II compliance for enterprise-grade data protection, and support for 11+ programming languages including Java, Python, C++, and PHP with framework-specific vulnerability detection.

Frequently Asked Questions (FAQ)

1. How does Corgea reduce false positives compared to other SAST tools? Corgea uses AI to analyze code context, historical triage decisions, and vulnerability patterns, automatically dismissing irrelevant findings. This results in a false positive rate below 5%, validated through continuous model training.
2. Which programming languages and frameworks does Corgea support? The platform natively supports Java, JavaScript, TypeScript, Go, Ruby, Python, C#, C, C++, PHP, and their associated frameworks like React, Django, and .NET. New language support is added quarterly.
3. Can Corgea integrate with our existing CI/CD pipelines? Yes, Corgea provides pre-built integrations for GitHub Actions, Azure DevOps Pipelines, and GitLab CI/CD (beta). It generates security reports and pull requests with fixes without disrupting existing workflows.
4. How does Corgea handle custom business logic vulnerabilities? Teams can input natural language descriptions of their business rules, which the AI maps to code patterns. For example, it detects missing price validation in e-commerce checkout flows or improper user role escalation.
5. Is customer code data stored securely? Corgea adheres to SOC II Type 1 standards, encrypts data in transit and at rest, and processes code snippets in isolated environments. No customer code is retained beyond the scanning session unless explicitly permitted.