In our previous installation, we discussed the history of security information and event management (SIEM) solutions — from collection to organizational detections and finally to response and orchestration. Now, we are firmly in the SIEM 3.0 revolution and focused on applying generative AI to every applicable process in the security operations center with tremendous success.

The average cost of a cyberattack in the United States is 9.5 million. With over 60% of businesses going bankrupt after experiencing a severe data breach, robust security measures to safeguard organizations’ digital assets and operations are urgently needed. A powerful tool gaining significant traction in addressing these challenges is Security Information and Event Management (SIEM).

Are your cybersecurity tools working together effectively? UEBA (User Entity Behavior Analytics) and SIEM (Security Information and Event Management) are two of the most potent cybersecurity solutions in modern organizations, but they serve very different purposes. UEBA identifies risky behaviors, while SIEM collects and analyzes security data across your network.

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 The previously adopted perimeter model of security has become outdated and inadequate.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.

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.