It was previously known as Websense, which was founded in 1994. They did this by launching their SIEM/UEBA/SOAR with a user-based pricing model, as opposed to the volume-based pricing models imposed by the large majority of the industry.Since Exabeam introduced this model, some traditional SIEM vendors have been forced to respond by introducing their own user-pricing model.Today, data lakes are popping up everywhere, and organizations need a SIEM that can pull data from many locations – SIEM differentiation will no longer be in the collection and storing of logs, but in the application layer.
All are based on its Predictive Identity Based Behavior Anomaly Engine (PIBAE). Exabeam today announced it has been named a Leader in the 2020 Gartner Magic Quadrant for Security Information and Event Management (SIEM). Niara was acquired by Aruba, a Hewlett Packard A rule-based engine identifies policy violations, unauthorized data access, data exfiltration, whether data is being moved to the cloud or onto a local USB device, and compromised accounts.Fortscale specializes in user behavior analytics, specifically at analytics designed to counter insider threats. In 2015, Microsoft added Advanced Threat Analytics to its Enterprise Mobility Suite and also made it available as a standalone product. Organizations can identify risky users, keep a constant lookout for new internal and external threats, and detect unusual privileged behavior. Its UEBA platform is its primary product offering.Now four years old, Exabeam offers a SIEM platform that integrates with its standalone products for log management, UEBA, Forcepoint claims that its user behavior monitoring technology has been protecting governments and other organizations for more than 15 years. And it is built with the needs of an organization’s future in mind: multi-region cloud, scale, automation, reporting, RBAC, HA/DR, archiving, and more.This new platform will allow hybrid security operations teams to help reduce risk, time, and exposure:Exabeam is a leader and visionary in the use of AI and Since its inception, Exabeam applied AI and ML to create various techniques to identify adversaries in the customers’ environment, looking at behavior amongst peer groups and organizational commonalities.With AI and ML in Exabeam’s Advanced Analytics, the other Exabeam tools, Case Management and Incident Response yields, alert mitigation for analysts that would make their work more efficient by leveraging learned data models and new detection technique attacks spanning multiple MITRE TTPs.Lastly, Exabeam’s strategy is to continue to invest in and foster innovations that would be incorporated into the platform to simplify workflows and provide excellent and automated visibility into customers’ technology environments. In 2016, it reported $164.5 million in revenue.