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Corgea

Corgea is an AI-powered security platform that utilizes advanced code analysis to detect and remediate vulnerabilities in software, significantly reducing the time developers spend on security fixes. By triaging false positives from existing SAST tools, Corgea uncovers critical risks that are often overlooked, enabling businesses to enhance their code security efficiently.

San Francisco, United StatesFounded 202342K+ followers
Updated 20 months ago

Funding

$2.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

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Funding rounds are not available yet.

Founders

Product

Problem

Existing Static Application Security Testing (SAST) tools often miss critical vulnerabilities, generate a high volume of false positives, and lack effective remediation guidance, leading to significant risk and wasted developer time. Developers spend excessive time triaging alerts and fixing vulnerabilities, diverting them from revenue-generating tasks.

Solution

Corgea is an AI-powered security platform that automates the detection, triage, and remediation of vulnerabilities in software code. By connecting to existing SAST tools, Corgea uses AI and advanced code analysis to identify business logic and code logic vulnerabilities that other tools miss. The platform automatically triages false positives, reducing noise and allowing developers to focus on valid findings. Corgea generates high-quality code fixes that can be directly sent to developers for approval within their existing IDEs and integrated with popular tools like GitHub and Azure DevOps.

Target Audience

Corgea is designed for software development teams and security professionals seeking to improve code security, reduce vulnerability remediation time, and minimize false positives from SAST tools.

Features

  • AI-powered vulnerability detection that uncovers business logic and code logic flaws.
  • Automated false positive triage to reduce noise from existing SAST tools by approximately 30%.
  • AI-generated code fixes for valid findings, ready for developer approval.
  • Integration with existing SAST tools through a connector catalog.
  • Support for multiple languages including Java, JavaScript, TypeScript, Go, Ruby, Python, and C#.
  • IDE integration, allowing developers to stay within their preferred environment.
  • Integration with GitHub, Azure DevOps (GitLab and Bitbucket coming soon).
This profile is AI-generated and may contain inaccuracies.