User Risk Scoring
Quantify individual user risk with role context, behavioral analytics, and anomaly detection — continuously.
Without continuous user risk scoring, organizations remain blind to evolving human-driven threats from accidental clicks to targeted credential theft. Legacy identity models and controls miss behavioral drift, undermining compliance, audit readiness, and real-time enforcement.
How Dune Solves It
Simulates insider threat attacks like Business Email Compromise via Direct
Gauges susceptibility through real-world phishing, smishing, vishing, and deepfake tests.
Evaluates real user participation in adaptivetraining tied to individual behavior and role.
Correlates anomalies across identity systems, email, endpoints, HRIS platforms, and DLP tools.
User Threat Detection
Flags threats triggered by user actions such as phishing failures, credential misuse, behavioral drift, and policy fatigue.
Integrated Signal Correlation
Consolidates behavioral signals from across your stack into a single actionable risk score leveraging anomalies from email, IAM, endpoints, HRIS, and DLP.
Enterprise Impact
Gain end-to-end visibility into user-driven risk across phishing, access, identity, and behavioral anomalies.
Prioritize detection, response, and training based on real-time user risk-not static roles or assumptions.
Strengthen compliance and audit readiness with continuous, behavior-based evidence of control effectiveness.
Ready to implement continuous user risk scoring in your organization?
Book a demo