AI Based Predictive Threat Hunting

Gurucul provides a natural language and model driven threat hunting experience to minimize analyst time writing complex queries. Auto-recommended investigations, threat classifiers, security frameworks and cutting edge data models are used to represent the threat using modern visualizations, dynamic attribute summaries, and on-demand threat intelligence. A simple UI driven “point and shoot” experience gives investigation teams the ability to quickly build complex queries with inclusions, exclusions, functions, and operators. Artificial Intelligence (AI) techniques identify any additional users or entities impacted which are similar to the queries executed. This allows analysts to get insights into potential threats which do not completely satisfy the query criteria but demonstrate similar patterns. Analysts can also publish such threat hunting queries as models to automate any future detections and risk scoring. Attend this webinar to learn how: • Pre-packaged threat hunting analytics can be used for both active and passive threat hunting capabilities • Real-time contextual linking helps enrich threat hunting data • Automated responses for adversarial tactics and techniques defined by the MITRE ATT&CK™ Framework reduces security incident and risk MTTD/MTTR