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Microsoft has released security updates to address 51 flaws as part of its Patch Tuesday updates for June 2024. Of the 51 vulnerabilities, one is rated Critical and 50 are rated Important. This is in addition to 17 vulnerabilities resolved in the Chromium-based Edge browser over the past month. None of the security flaws have been actively exploited in the wild, with one of them listed as publicly known at the time of the release. This concerns a third-party advisory tracked as CVE-2023-50868 (CVSS score: 7.5), a denial-of-service issue impacting the DNSSEC validation process that could cause CPU exhaustion on a DNSSEC-validating resolver. It was reported by researchers from the National Research Center for Applied Cybersecurity (ATHENE) in Darmstadt back in February, alongside KeyTrap ( CVE-2023-50387 , CVSS score: 7.5). "NSEC3 is an improved version of NSEC (Next Secure) that provides authenticated denial of existence," Tyler Reguly, associate director of Security...

Microsoft has released patches to address  73 security flaws  spanning its software lineup as part of its Patch Tuesday updates for February 2024, including two zero-days that have come under active exploitation. Of the 73 vulnerabilities, 5 are rated Critical, 65 are rated Important, and three and rated Moderate in severity. This is in addition to  24 flaws  that have been fixed in the Chromium-based Edge browser since the release of the January 2024 Patch Tuesday updates . The two flaws that are listed as under active attack at the time of release are below - CVE-2024-21351  (CVSS score: 7.6) - Windows SmartScreen Security Feature Bypass Vulnerability CVE-2024-21412  (CVSS score: 8.1) - Internet Shortcut Files Security Feature Bypass Vulnerability "The vulnerability allows a malicious actor to inject code into  SmartScreen  and potentially gain code execution, which could potentially lead to some data exposure, lack of system availabilit...

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...