System Crash | Breaking Cybersecurity News | The Hacker News

Cybersecurity firm CrowdStrike on Wednesday blamed an issue in its validation system for causing millions of Windows devices to crash as part of a widespread outage late last week. "On Friday, July 19, 2024 at 04:09 UTC, as part of regular operations, CrowdStrike released a content configuration update for the Windows sensor to gather telemetry on possible novel threat techniques," the company said in its Preliminary Post Incident Review (PIR). "These updates are a regular part of the dynamic protection mechanisms of the Falcon platform. The problematic Rapid Response Content configuration update resulted in a Windows system crash." The incident impacted Windows hosts running sensor version 7.11 and above that was online between July 19, 2024, 04:09 UTC and 05:27 UTC and received the update. Apple macOS and Linux systems were not affected. CrowdStrike said it delivers security content configuration updates in two ways, one via Sensor Content that's shippe...

Businesses across the world have been hit by widespread disruptions to their Windows workstations stemming from a faulty update pushed out by cybersecurity company CrowdStrike. "CrowdStrike is actively working with customers impacted by a defect found in a single content update for Windows hosts," the company's CEO George Kurtz said in a statement . "Mac and Linux hosts are not impacted. This is not a security incident or cyber attack." The company, which acknowledged "reports of [ Blue Screens of Death ] on Windows hosts," further said it has identified the issue and a fix has been deployed for its Falcon Sensor product, urging customers to refer to the support portal for the latest updates. For systems that have been already impacted by the problem, the mitigation instructions are listed below - Boot Windows in Safe Mode or Windows Recovery Environment Navigate to the C:\Windows\System32\drivers\CrowdStrike directory Find the file named ...

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...