Skylake Processor | Breaking Cybersecurity News | The Hacker News

Zombieload is back. This time a new variant (v2) of the data-leaking side-channel vulnerability also affects the most recent Intel CPUs, including the latest Cascade Lake, which are otherwise resistant against attacks like Meltdown , Foreshadow and other MDS variants (RIDL and Fallout). Initially discovered in May this year, ZombieLoad is one of the three novel types of microarchitectural data sampling (MDS) speculative execution vulnerabilities that affect Intel processor generations released from 2011 onwards. The first variant of ZombieLoad is a Meltdown-type attack that targets the fill-buffer logic allowing attackers to steal sensitive data not only from other applications and the operating system but also from virtual machines running in the cloud with common hardware. ZombieLoad v2 Affects Latest Intel CPUs Now, the same group of researchers has disclosed details of a second variant of the vulnerability, dubbed ZombieLoad v2 and tracked as CVE-2019-11135 , that r...

After leaving million of devices at risk of hacking and then rolling out broken patches, Intel has now released a new batch of security patches only for its Skylake processors to address one of the Spectre vulnerabilities (Variant 2). For those unaware, Spectre ( Variant 1, Variant 2 ) and Meltdown ( Variant 3 ) are security flaws disclosed by researchers earlier last month in processors from Intel, ARM, and AMD, leaving nearly every PC, server, and mobile phone on the planet vulnerable to data theft. Shortly after the researchers disclosed the Spectre and Meltdown exploits , Intel started releasing microcode patches for its systems running Broadwell, Haswell, Skylake, Kaby Lake, and Coffee Lake processors. However, later the chip maker rollbacked the firmware updates and had to tell users to stop using an earlier update due to users complaining of frequent reboots and other unpredictable system behavior after installing patches. Although it should be a bit quicker, Intel i...

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...