vulnerability discovery

Microsoft is enhancing its security measures for Windows by integrating artificial intelligence (AI) to improve the discovery and analysis of vulnerabilities across its codebase. This includes the use of a multi-model agentic scanning harness (MDASH) that employs various AI models to identify and validate potential vulnerabilities efficiently. A dedicated cloud infrastructure supports this scanning process, which aims to minimize false positives and reduce the time from discovery to customer protection. The company collaborates across divisions to promote AI-powered tools and practices, refining its internal systems to integrate vulnerability discovery into development processes. This includes updating Secure Development Lifecycle (SDL) practices to address AI-enabled attack techniques. Customers can expect an increase in security updates as AI enhances vulnerability discovery capabilities. Windows updates undergo rigorous validation through programs like the Security Update Validation Program (SUVP) to ensure quality and compatibility. Microsoft also offers tools like Known Issue Rollback (KIR) for quick reversion of changes if issues arise during updates. Customers are encouraged to stay current with security updates and utilize resources like the Security Update Guide for prioritizing protections. To facilitate smoother update processes, Microsoft provides optional non-security preview releases for compatibility testing and employs modern management capabilities like Windows Autopatch to automate security updates. Azure Arc enables rebootless updates for Windows Servers, while Microsoft Defender and Intune help manage vulnerabilities and compliance across endpoints. Overall, Microsoft is committed to continuous improvement in its security practices to adapt to the evolving threat landscape and ensure customer protection through timely updates.