UEBA (User & Entity Behavior Analytics) is the most promising solution to fight against cyber threats and fraud as it allows us to get ahead of the attackers by detecting risks and restrict them.
UEBA successfully detects malicious and abusive activity that otherwise goes unnoticed, and effectively consolidates and prioritizes security alerts sent from other systems. Organizations need to develop or acquire statistical analysis and machine learning capabilities to incorporate into their security monitoring platforms or services. Rule-based detection technology alone is unable to keep pace with the increasingly complex demands of threat and breach detection.
PAE uses UEBA to provide insights on cyber security and analytics. Our solution analyses volumes of data to establish a baseline of normal user and system behavior, and flag suspicious behavior anomalies. The result is a sophisticated artificial intelligence platform that detects insider and cyber threats in real time.
The system provides trend of events happening over a period of time which would help the system analyst to understand the behavior of such events and can predict the trends of such occurrence. This would prove very helpful in finding or investigating critical system issues.
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