Heading to Money20/20? Get your free 🍩 + ☕️ on Monday.
Interrupt authorized payment scams before funds move
Authorized payment scams are difficult to spot because the customer initiates the payment. DataVisor compares each payment with the customer’s normal behavior, the beneficiary’s risk, and the surrounding network in real time—then triggers a warning, hold, or review when risk warrants it.
See how DataVisor helps customers before funds leave.
What you can accomplish with DataVisor
Recognize risky payment intent early
Identify suspicious payment intent before authorization—even when the customer initiates the transfer.
Expose risky recipients and scam networks
Detect risky beneficiaries, mule accounts, and connected scam networks.
Protect customers with targeted intervention
Apply warnings, step-up checks, holds, or review when risk warrants it, keeping friction focused where it matters.
Context that reveals manipulation
Behavioral and device intelligence, payment and beneficiary context, account and customer history, Knowledge Graph relationships, unsupervised machine learning, rules, and real-time payment decisioning work together.
From payment intent to the right intervention
Evaluate the customer, session, device, beneficiary, transaction, and surrounding activity.
Compare behavior with the customer's baseline and identify network or beneficiary risk.
Score the payment before funds move.
Trigger the least-friction intervention that matches the risk and route complex activity to investigation.
See a scam recognized in the moment
Follow an authorized payment with unusual session behavior, beneficiary context, and linked receiving accounts—through the risk decision to a warning, hold, or review.
Protect against authorized and unauthorized scams in one workflow
DataVisor addresses authorized and unauthorized fraud in one workflow, using intent and context signals to guide intervention before recovery is needed.
Protect against every type of scam
Connect payment, customer, and network context
Integrate payment rails, customer and account systems, and beneficiary data with dEdge, Identity & Risk Signals, Knowledge Graph, Rules & Features, Real-Time Decisioning, Case Management, and postback workflows.
Common questions
What is an authorized push payment (APP) scam?
An APP scam occurs when a customer is manipulated into authorizing a payment to a fraudster—through impersonation, romance, investment, or business-email-compromise schemes.
How does DataVisor tell a scam from a legitimate customer payment?
DataVisor compares each payment with the customer's behavioral baseline and evaluates beneficiary and network context, separating manipulated payments from normal activity.
Which interventions can DataVisor trigger?
Warnings, step-up checks, holds, and review—configured to your institution's policy.
Help customers before funds move
See authorized-payment fraud detection, beneficiary risk, and real-time intervention in action.

