video1.0<iframe src="https://www.loom.com/embed/64cba8ad07a24964b3ffa6eacebc782d" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/64cba8ad07a24964b3ffa6eacebc782d-00001.gif168.79999999999995Ahmad, the CEO of Corgea, explains how their product improves cybersecurity. Corgea integrates with existing Static Code Analysis (SCA) and Software Composition Analysis (SAS) tools like Snyk and Semgrep, automating the consumption of reported vulnerabilities. Utilizing AI, it not only generates fixes but also provides detailed explanations to help engineers understand the issues. Corgea's GitHub application facilitates quicker, cost-effective resolutions by issuing pull requests directly. Unlike typical coding applications that use Large Language Models (LLMs) with low acceptance rates, Corgea is enhanced with extensive training and context-specific information, including Common Weakness Exposures (CWEs) and language-specific certifications (Python, JavaScript, TypeScript, etc.). It incorporates robust quality and security controls to ensure high-quality, relevant fixes.