Vulnerability scanner targeting logic bugs (github.com)

A new AI-native vulnerability scanner, LogicGate, has been launched to specifically target business logic vulnerabilities in JavaScript and TypeScript applications. Unlike traditional static application security testing (SAST) tools, which often focus on pattern-matching and can miss critical issues like Insecure Direct Object References (IDOR) and broken authorization, LogicGate employs advanced techniques such as tree-sitter static parsing and call-graph slicing, supplemented by the semantic reasoning capabilities of the Claude Opus 4.6 model. This allows it to understand the actual functionality of the code, leading to more accurate vulnerability detection. The significance of LogicGate lies in its ability to not only identify complex logic flaws that might bypass standard security checks but also generate automated code fixes for them. It aids developers by producing SARIF output, which integrates seamlessly with platforms like GitHub, VS Code, and Azure DevOps, streamlining the security audit process within CI/CD pipelines. With features such as real-time reporting and automated remediation patches, LogicGate enhances the security posture of applications while bridging a notable gap left by conventional tools, making it a valuable addition to the AI/ML community in the realm of software security.