EPS Cybersecurity Anomaly Detector

Security Information and Event Management (SIEM) solutions have been a game changer in the past two decades. However, as the amount of data being generated daily grows exponentially, the current configuration of SIEM solutions falls behind in capability. A growing trend in software solutions is the use of machine learning to help make processes more efficient. This tool utilises querying and data processing techniques that feed into an unsupervised model and can help an analyst quickly detect anomalies that other measures would have otherwise missed.

Machine learning, anomaly detection on time-series based data

IBM QRadar

Small and medium organizations that require continuous security monitoring

Licensing is required