GitHub is expanding its application security capabilities with AI-powered security detections designed to identify risks earlier in the development process, with public preview planned for early Q2. The update is intended to improve code scanning, secret detection, and dependency analysis within repositories hosted on the platform. The company said the new detections are designed to complement its existing CodeQL engine, which remains in use for semantic analysis of supported languages. Static analysis continues to play … More → The post GitHub leans on hybrid detection model to expand vulnerability coverage appeared first on Help Net Security.