SAST Auto-Fix is a centralized platform that aggregates findings from multiple Static Application Security Testing tools and applies AI-based validation to reduce false positives. The platform integrates with existing SAST scanners to provide a unified dashboard for managing vulnerabilities across different tools. The AI validation component analyzes findings from connected SAST tools to filter out false positives, reportedly reducing noise by 75%. The platform performs intelligent deduplication across multiple tools and applies context-aware vulnerability validation to prioritize genuine security issues. The automated remediation feature generates patches for validated vulnerabilities. Developers can refine these fixes using natural language commands in pull request comments. The generated patches are designed to be context-aware, compile successfully, and pass existing tests. The platform provides consistent vulnerability scoring using CVSS 4.0 across all integrated tools. It maintains a unified workflow for vulnerability management while allowing organizations to continue using their existing SAST tool investments. The solution includes a public API for integration with development workflows and supports PR-based review and approval processes for generated fixes.