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Let trusted customers move faster—and challenge real risk
DataVisor recognizes trusted activity using identity, device, behavior, and relationship context—so low-risk logins, applications, and payments can move with less friction while challenges, holds, and lockouts apply when risk warrants.
See proportional decisioning in action.
What you can accomplish with DataVisor
Recognize trusted customers with confidence
Distinguish trusted activity from suspicious behavior using broader context.
Let low-risk activity flow
Let low-risk activity move through smoothly, reserving stronger controls for higher risk.
Reserve friction for real risk
Use step-up, hold, block, or review only when risk warrants it.
Context that matches action to risk
Identity and risk signals, dEdge, behavioral intelligence, customer and account history, Knowledge Graph, rules, supervised and unsupervised machine learning, decisioning, and analytics for approval and friction metrics.
The right action for every customer moment
Collect customer, device, behavior, account, transaction, and relationship signals.
Compare the current event with trusted history and peer context.
Evaluate risk using the appropriate strategy and threshold.
Return approve, step-up, hold, decline, or review and monitor the effect on fraud, approval, and friction.
Three events, three proportional responses
See a trusted event pass with low friction, an ambiguous event receive targeted step-up, and a high-risk event held with explainable reasons.
Decisions proportional to real risk
DataVisor combines trusted and risk signals across identity, device, behavior, history, and relationships—so each decision matches the actual risk and applies controls proportionally.
Reduce friction across the customer lifecycle
Connect risk to every customer touchpoint
Identity & Risk Signals, dEdge, Data Orchestration, Knowledge Graph, Rules & Features, machine learning, Real-Time Decisioning, authentication and customer systems, and Case Management.
Common questions
Does reducing friction mean removing fraud controls?
Reducing friction means applying risk-based controls precisely—trusted customers move faster while risky activity receives the right intervention.
How is customer friction measured?
Customer experience and fraud prevention are measured together, using approval rate, challenge rate, false declines, holds, lockouts, and abandonment alongside loss metrics.
Where does DataVisor reduce friction?
Across login, account recovery, onboarding, card authorization, ACH, wire, instant, and P2P payments, and customer screening.
Find your friction points
Get a customer-friction assessment focused on approval rate, challenge rate, false declines, holds, lockouts, and abandonment.