Scam & Social Engineering Prevention

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

What you can accomplish with DataVisor

Intent Detection

Recognize risky payment intent early

Identify suspicious payment intent before authorization—even when the customer initiates the transfer.

Beneficiary Risk

Expose risky recipients and scam networks

Detect risky beneficiaries, mule accounts, and connected scam networks.

Targeted Intervention

Protect customers with targeted intervention

Apply warnings, step-up checks, holds, or review when risk warrants it, keeping friction focused where it matters.

Layered Intelligence

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.

How It Works

From payment intent to the right intervention

1

Evaluate the customer, session, device, beneficiary, transaction, and surrounding activity.

2

Compare behavior with the customer's baseline and identify network or beneficiary risk.

3

Score the payment before funds move.

4

Trigger the least-friction intervention that matches the risk and route complex activity to investigation.

Product Proof

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.

Authorized payment
→
Session anomaly
→
Linked receiving accounts
→
Intervention
Explore a real-time scam intervention.
Authorized and Unauthorized Fraud, One Workflow

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.

Coverage

Protect against every type of scam

Impersonation Romance Investment Business-email compromise Payment diversion Authorized push payment Mule receiving accounts AI-enabled scam tactics
Connected Platform

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.

FAQ

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.

See Scam Detection Live

Help customers before funds move

See authorized-payment fraud detection, beneficiary risk, and real-time intervention in action.