AI is accelerating software development and expanding the range of languages and frameworks used in modern repositories. Security teams are increasingly responsible for protecting code written across many ecosystems, not just the core enterprise languages traditionally covered by static analysis. That’s why GitHub is introducing AI-powered security detections in GitHub Code Security to expand application security coverage across more languages and frameworks. These detections complement CodeQL by surfacing potential vulnerabilities in areas that are difficult to support with traditional static analysis alone. Public preview availability is planned for early Q2. ## Expanding application security coverage with static analysis and AI Static analysis remains an effective way to identify vulnerabilities in supported languages, which is why GitHub Code Security continues to rely on CodeQL for deep semantic analysis.…