"Researchers Add Profile-Based Anomaly Detection to SIEM"

Researchers at Germany’s Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE) have added profile-based anomaly detection software for security information and event management (SIEM) systems to help in the management of large amounts of data that is usually generated by SIEM systems. The implementation of PA-SIEM would allow cyberattacks to be detected faster by the scanning of anomalies instead of the traditional reliance on predefined rules. This article further discusses the process of PA-SIEM and the inadequacies of SIEM. 

eSecurity Planet "Researchers Add Profile-Based Anomaly Detection to SIEM"