User Risk Scoring
Continuously quantify individual user risk with role context, behavioral analytics, and anomaly detection.
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
Factor in each user’s title, department, access scope, and role sensitivity to prioritize risk based on business exposure.
Launch user-adaptive phishing, smishing, deepfake, and encrypted-channel simulations to test real-world susceptibility.
Track comprehension, completion, and retention of training personalized to each user’s behavior, role, and risk level.
Detect early signs of fatigue, misuse, or compromise by analyzing login failures, unusual access, policy breaches, and drift across IAM, SEG, EDR, DLP, and HRIS systems.
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?
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