Fortscale User Behavior Analytics for Security Solution

Fortscale User Behavior Analytics for Security Solution : Fortscale delivers an accurate, scalable and extendible user behavior analytics (UBA ) for security solution. Enterprises face a growing threat from malicious employees and external users that have hijacked and compromised legitimate user credentials to exploit data. These sophisticated attacks occurring from within the network are difficult for security analysts to detect using traditional security measures. As a result, a new approach is needed to secure enterprise networks and protect intellectual property.

Fortscale provides a user behavior analytics solution designed to mitigate these insider threats. With deep big data, analytics, machine learning capabilities and global user profiling, Fortscale empowers analysts and security teams with user intelligence, prioritized alerts and easy-to-use investigation tools so they can quickly identify bad actors and respond to threats.

Fortscale’s machine learning algorithms translate the massive amount of log data from various sensors, without pre-defined heuristics or thresholds. The common user cases supported by Fortscale are discovery and investigation of compromised users and monitor flagged users, abnormal access to sensitive resources, stale accounts and user entitlements and high privileged accounts’ abuse.Fortscale Analytics provides a proactive, efficient investigation process using Analytics Package Sets, canned reports, wizards and dashboards. Fortscale helps to discovering potential cyber threats and visualize prioritized leads to cyber analysts in a clear and informative way.

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Fortscale’s machine learning algorithms understand the context behind the logs and are based on unsupervised anomaly detection techniques and are designed to detect anomalies in a user’s behavior compared to his past behavior, as well anomalies in a user’s behavior compared to his peers. Fortscale support log integration from Splunk, HP Arcsight, RSA Envision, RSA Security Analytics, Q1 Radar, LogRhythm, and McAfee Nitro.