How Contextual Risk Scoring Reduces Attack Response Time

The biggest challenge that enterprises face today is that SOC analysts get too many alerts with very little context which results in no actionable intelligence. Many security teams do random sampling of alerts. However, there is a risk of missing out on significant threats that require immediate attention. Tying together indicators of compromise and events into understanding an actual attack, then establishing the potential impact and the subsequent response is a painful and mostly manual process for most security operations teams. Identifying and establish risk to the organization must go beyond aggregating third party scores from intelligence sources or vulnerability assessments. In this webinar we'll cover how advanced risk scoring provides accuracy and confidence to guide security operations decisions. Gurucul's risk scoring model takes a holistic approach for computing risk. It uses a robust and flexible risk scoring framework which rolls up risk scores from multiple contributing elements and derives a normalized user and entity risk score. This risk score enables organizations to detect threats quickly with no manual threat hunting or use of rules or pattern matching.