Microsoft has developed an AI security system called MDASH that has identified 16 vulnerabilities in Windows networking and authentication frameworks, with four classified as Critical, allowing for remote code execution. MDASH uses over 100 specialized AI agents to analyze code from multiple perspectives, improving the accuracy of vulnerability detection. The system has successfully detected all 21 planted vulnerabilities in a private testing environment without false positives, achieving a 96 percent recall rate against historical cases and an 88.45 percent success rate on the CyberGym benchmark. The identified vulnerabilities include issues in tcpip.sys and IKEEXT, which can be exploited remotely without needing credentials.