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Microsoft today issued a new security advisory warning billions of Windows users of two new critical, unpatched zero-day vulnerabilities that could let hackers remotely take complete control over targeted computers. According to Microsoft , both unpatched flaws are being used in limited, targeted attacks and impact all supported versions of the Windows operating system—including Windows 10, 8.1 and Server 2008, 2012, 2016, and 2019 editions, as well as Windows 7 for which Microsoft ended its support on January 14, 2020. Both vulnerabilities reside in the Windows Adobe Type Manager Library , a font parsing software that not only parses content when open with a 3rd-party software but also used by Windows Explorer to display the content of a file in the 'Preview Pane' or 'Details Pane' without having users to open it. The flaws exist in Microsoft Windows when the Adobe Type Manager Library improperly "handles a specially-crafted multi-master font - Adobe Type ...

Last weekend a security researcher publically disclosed a zero-day vulnerability in Windows 10, Windows 8.1 and Server editions after Microsoft failed to patch it in the past three months. The zero-day memory corruption flaw resides in the implementation of the SMB (server message block) network file sharing protocol that could allow a remote, unauthenticated attacker to crash systems with denial of service attack, which would then open them to more possible attacks. According to US-CERT, the vulnerability could also be exploited to execute arbitrary code with Windows kernel privileges on vulnerable systems, but this has not been confirmed right now by Microsoft. Without revealing the actual scope of the vulnerability and the kind of threat the exploit poses, Microsoft has just downplayed the severity of the issue, saying: "Windows is the only platform with a customer commitment to investigate reported security issues, and proactively update impacted devices as soon as ...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...