Microsoft is expanding its use of AI-powered tools and engineering innovations to detect Windows vulnerabilities earlier and accelerate remediation, as detailed in an announcement today. The company is leveraging AI-powered security tools, including the multi-model scanning system (MDASH), to detect vulnerabilities across the Windows codebase quickly. Automated scanning, validation, and prioritization help reduce the time between discovering a flaw and protecting customers. Microsoft is updating its Secure Development Lifecycle (SDL) to address AI-enabled attack methods, though human experts remain responsible for evaluating risks and approving fixes. As AI helps discover more vulnerabilities, the number of issues addressed in security releases is expected to increase. Windows engineers use AI to analyze failures, suggest fixes, detect related issues, and recommend relevant tests, while humans remain responsible for code review. Security updates undergo broad validation through internal testing and programs including the Security Update Validation Program (SUVP). Technologies like Known Issue Rollback (KIR) can reverse problematic changes after release. Microsoft emphasizes the importance of timely patches and provides CVE information, risk guidance, and optional preview releases to help IT admins test updates.