Whether you’re building a threat detection system using data science or evaluating a security vendor, this blog can serve as a guide to understanding how you can identify unusual behaviors in your enterprise with data science.
The MITRE ATT&CK Framework provides security teams (detection teams, response teams, hunt teams, etc.) with a common language that they can collectively use when discussing their cyber threat defensive strategies and then mapping out their existing solutions and defensive capabilities to the matrices provided by MITRE. Micro Focus’ Emrah Alpa recommends that organizations start by first identifying the top techniques used by their most likely threat actors.
Machine learning has the power to transform your security operations, but as with any powerful technology, it needs to be approached strategically. Interset has first-hand experience with helping organizations across the world implement and operationalize machine learning in their SOCs, and has identified four best practices that are critical for achieving success.
There is a myth that rule-based Security Information and Event Management (SIEM) is old technology, and is no longer worth using today. If companies believe it, they are giving up valuable protection that can be the difference between a massive data breach or simply another day in security operations.
If everyone is using AI, how do I decide which solution to use? The answer is two-fold: First, recognize that not all machine learning is created equal, and second, make sure you understand your use cases.