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Behavioral analytics, long associated with threat detection (i.e. UEBA or UBA), is experiencing a renaissance. Once primarily used to identify suspicious activity, it's now being reimagined as a powerful post-detection technology that enhances incident response processes. By leveraging behavioral insights during alert triage and investigation, SOCs can transform their workflows to become more accurate, efficient, and impactful. Fortunately, many new cybersecurity products like AI SOC analysts are able to incorporate these techniques into their investigation capabilities, thus allowing SOCs to utilize them into their response processes. This post will provide a brief overview of behavior analytics then discuss 5 ways it's being reinvented to shake up SOC investigation and incident response work. Behavior Analysis is Back, But Why? Behavioral analytics was a hot topic back in 2015, promising to revolutionize static SIEM and SOC detections with dynamic anomaly detection to uncover t...

The role of the CISO keeps taking center stage as a business enabler: CISOs need to navigate the complex landscape of digital threats while fostering innovation and ensuring business continuity. Three CISOs; Troy Wilkinson, CISO at IPG; Rob Geurtsen, former Deputy CISO at Nike; and Tammy Moskites, Founder of CyAlliance and former CISO at companies like Time Warner and Home Depot – shared their perspectives on how to run an effective SOC in 2023. 1) Prioritize Cost Efficiency While Remaining 'Secure' As a world-renowned speaker, a co-author of an Amazon Best Seller, and a trusted commentator on prominent news networks such as NBC, CBS, and Fox, Troy Wilkinson, knows a thing or two about cybersecurity. When adopting new technologies, Troy reinforces that CISOs don't have the luxury of waiting months or years to see the value of new investments; "Time to Value is critical. New solutions need to deliver value quickly." Rob Geurtsen, former Deputy CISO at Nike,  jo...

Every week seems to bring news of another data breach, and it's no surprise why: securing sensitive data has become harder than ever. And it's not just because companies are dealing with orders of magnitude more data. Data flows and user roles are constantly shifting, and data is stored across multiple technologies and cloud environments. Not to mention, compliance requirements are only getting stricter and more elaborate.  The problem is that while the data landscape has evolved rapidly, the usual strategies for securing that data are stuck in the past. Gone are the days when data lived in predictable places, with access controlled by a chosen few. Today, practically every department in the business needs to use customer data, and AI adoption means huge datasets, and a constant flux of permissions, use cases, and tools. Security teams are struggling to implement effective strategies for securing sensitive data, and a new crop of tools, called data security platforms, have appear...

Security Operations is a 24 x 7 job. It does not stop for weekends or holidays or even that much-needed coffee break after the first hour of the shift is complete. We all know this. Every SOC engineer is hoping for some rest at some point. One of my favorite jokes when talking about Security Operations is "3 SOC engineers walked into a bar…" That the joke. No SOC engineers have time to do that. They get it. They laugh. So why is this all true? Let us explore that a little bit. Demand for experienced SOC engineers far surpasses the available talent. Event volume levels boggle the imagination compared to even just a few years ago. Utilization of tools to their utmost capability has often not been a priority.  In the Security Operations space, we have been using SIEM's for many years with varying degrees of deployments, customization, and effectiveness. For the most part, they have been a helpful tool for Security Operations. But they can be better. Like any tool, t...