Exabeam

Exabeam rose to prominence by fundamentally disrupting the traditional SIEM market with its revolutionary User and Entity Behavior Analytics (UEBA) engine. Historically, legacy SIEMs relied on rigid, human-written correlation rules that generated massive amounts of false positives and completely missed novel attacks. Exabeam approached the problem differently, utilizing advanced machine learning to establish a normal behavioral baseline for every single user and device (entity) on the network. When behavior deviates significantly from that baseline—for example, a receptionist suddenly accessing a sensitive database server at 3:00 AM—Exabeam flags the anomaly, regardless of whether a specific rule was written to catch it. A defining characteristic of Exabeam is its "Smart Timelines." When an alert fires in a traditional SIEM, an analyst typically has to manually query logs across dozens of systems to piece together what happened, a process that can take hours. Exabeam automates this entirely. Using its deep understanding of identity and session tracking, the platform automatically stitches together all related events—from the initial phishing email click, to the VPN login, to the lateral movement across the network—into a single, easy-to-read, pre-built timeline. This gives analysts immediate context and drastically reduces investigation times. Exabeam has expanded its highly successful UEBA engine into a comprehensive, cloud-native SIEM platform known as the Exabeam Security Operations Platform. The platform addresses a major pain point of legacy SIEMs—exorbitant data ingestion costs—by utilizing predictable, user-based pricing rather than charging per gigabyte of log data ingested. This encourages organizations to log everything, eliminating blind spots. By combining world-class behavioral analytics, automated incident timelines, and predictable cloud scaling, Exabeam provides a highly modern, incredibly efficient approach to enterprise threat detection.