The power of artificial intelligence (AI) and machine learning (ML) is a double-edged sword — empowering cybercriminals and cybersecurity professionals alike. AI, particularly generative AI’s ability to automate tasks, extract information from vast amounts of data, and generate communications and media indistinguishable from the real thing, can all be used to enhance cyberattacks and campaigns.

It’s vital to have a common understanding and shared context for complex technical topics. The previously adopted perimeter model of security has become outdated and inadequate. Zero Trust (ZT) is the current security model being designed and deployed across the US federal government. It’s important to point out that ZT is not a security solution itself. Instead, it’s a security methodology and framework that assumes threats exist both inside and outside of an environment.

CrowdStrike Falcon Next-Gen SIEM, the definitive AI-native platform for detecting, investigating and hunting down threats, enables advanced detection of ransomware targeting VMware ESXi environments. CrowdStrike has observed numerous eCrime actors exploiting ESXi infrastructure to encrypt virtual machine volumes from the hypervisor to deploy ransomware in organizations. Access to ESXi infrastructure typically takes place as part of lateral movement.

Gartner identified security technology convergence as one of the key trends both in 2022 and 2023 as a necessity to remove complexity in the industry. Especially for Threat Detection and Incident Response (TDIR), simplification continues to resonate with cyber teams overwhelmed by too many tools and the continuous cutting and pasting from one tool to another.

In cybersecurity as in sports, teamwork makes the dream work. In a world where security analysts can feel constantly bombarded by threat actors, banding together to share information and strategies is increasingly important. Over the last few years, security operations center (SOC) analysts started sharing open source Sigma rules to create and share detections that help them level the playing field.

The cybersecurity domain mirrors the physical space, with the security operations center (SOC) acting as your digital police department. Cybersecurity analysts are like the police, working to deter cybercriminals from attempting attacks on their organization or stopping them in their tracks if they try it. When an attack occurs, incident responders, akin to digital detectives, piece together clues from many different sources to determine the order and details of events before building a remediation plan.

Site reliability engineers (SREs) and security analysts — despite having very different roles — share a lot of the same goals. They both employ proactive monitoring and incident response strategies to identify and address potential issues before they become service impacting. They also both prioritize organizational stability and resilience, aiming to minimize downtime and disruptions.

When evaluating a SIEM, two key factors stand out: flexibility in data handling and open architecture. These two elements significantly enhance a platform’s efficiency and adaptability in managing cybersecurity threats. Whether you’re evaluating your current SIEM or looking for a more modern solution, here are five questions to ask to gauge its flexibility.

It seems as though responders cannot catch a break when it comes to 0-day vulnerabilities and supply chain compromise avenues. On March 29th, 2024, the Cybersecurity & Infrastructure Security Agency published an alert regarding a supply chain compromise of the XZ Utils package. At time of writing, there is no information regarding exploitation of the vulnerability and follow-on post-compromise activity.