Case Study on Cosmos AI and Human Expertise in Application Security

This case study details the collaboration between Bishop Fox’s Cosmos AI security testing platform and human expertise to enhance application security for a financial services organization. The engagement involved a structured five-phase pipeline, starting with automated reconnaissance and authenticated crawling, followed by AI testing across eight specialized modules. The AI generated 35 candidate findings, which were then triaged by a human expert, resulting in 12 confirmed vulnerabilities. The study highlights the effectiveness of AI in identifying complex vulnerabilities, including broken access control and business logic flaws, while emphasizing the complementary role of human testers in validating findings and adjusting severity ratings. The final report achieved zero false positives, showcasing the value of combining AI's speed and breadth with human judgment. Additionally, the case study covers the OWASP Top 10 vulnerabilities identified during testing and the controls that were confirmed secure, illustrating the comprehensive approach to application security.