AppSecAI is an AI-driven application security tool that uses machine learning models to identify security vulnerabilities in software. The platform's performance is validated against the OWASP Benchmark, achieving a reported 97% overall accuracy rate and an 83% reduction in false positives compared to standard tooling. Performance metrics are measured through multiple testing methodologies: - OWASP Benchmark Testing: Regular validation against OWASP's comprehensive security benchmark suite - Real-World Validation: Testing across diverse production applications and environments - Continuous Monitoring: Ongoing performance measurement across varied environments The platform has published over 25,000 security findings as open-source data, with benchmark results made publicly available via a GitHub repository. This transparency initiative allows independent review of the AI model's detection capabilities across multiple benchmark scenarios.