Companies generate data at an exponential rate, and the task of analyzing data to produce relevant security insights can be overwhelming. With evolving market dynamics and threat landscapes, security teams have a greater need for integrated and scalable monitoring that provides real-time and meaningful insights into the state of organizational security posture.

While both data warehouses and lakes are big data storage solutions, they are useful in distinctly different situations. Data warehouses store structured data that can be accessed and interpreted by anyone with permission to do so, whereas a data lake is an unstructured storage space for large quantities of raw data. Data lakes store big data in its raw form, with minimal structure and few controls over what data is included or excluded from the storage space.

Collin’s dictionary defines “behavior pattern” as a recurrent way of acting by an individual or group toward a given object or in a given situation. Analyzing and understanding the behavior patterns of individuals has proven to provide in-depth solutions to problems in different walks of life, including cybersecurity.

What’s the point of collecting a lot of data if you don’t have the tools and power to analyze it? In this Log’s Honest Truth podcast, presented in partnership with ITSP Magazine, Devo’s VP of Customer Success, Jill Orhun, discusses the confessions of “Mr. V,” a digital security and fraud director. His face and voice are disguised, but there’s no disguising his frustrations. Listen to the podcast. “Mr.