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Huntsman Security’s patented Behaviour Anomaly Detection (BAD2) engine is integrated into its SIEM to provide real-time machine learning capabilities to detect unknown threats.
Huntsman Security’s SIEM analyses activity, based on the organisation’s risks, threats and vulnerabilities, to learn normal patterns of behaviour and activity. Armed with activity baselines, it detects threats or suspicious activity that differs from expected behaviour. Huntsman Security’s SIEM can detect:
By dynamically profiling multiple variables with sophisticated in-stream behavioural algorithms, the detection engine adapts to changes and trends over time; either adjusting and relearning “normal” values or using fixed/pre-set baselines, depending on the nature of the environment and risk.
Behavioural Analysis - Network Data Transfer Anomaly
Huntsman SIEM Live Dashboard - Dark Version
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