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Stop P2P scams before the transfer leaves
DataVisor evaluates the sender, recipient, and connections between them in real time—so scams, account takeovers, and mule activity can be addressed in the moment while trusted transfers keep moving.
See how DataVisor protects every P2P transfer.
What you can accomplish with DataVisor
Evaluate both sides of every transfer
Assess sender, recipient, account, device, session, behavioral, and transaction context.
Expose scam and mule networks
Detect scam and mule networks that span users and accounts.
Intervene in real time
Apply warnings, holds, step-up, blocks, review, or approve actions as the payment happens.
See connected risk across every transfer
Payment and recipient intelligence, dEdge, identity and account context, behavioral analysis, Knowledge Graph, rules, supervised and unsupervised machine learning, decisioning, and case workflows.
From transfer request to the right response
Collect sender, recipient, account, device, session, and transaction signals.
Enrich and compute velocity, behavior, history, and relationship features.
Evaluate the transfer against your risk strategy and network intelligence.
Apply the configured intervention and route related activity to cases or investigations.
See a risky transfer handled in real time
Follow a P2P transfer to a new recipient with unusual session behavior and linked receiving accounts—through risk reasons to a warning, hold, or review.
More than sender-level rules
DataVisor treats P2P risk as a connected financial-crime problem—combining authorized-scam, device, behavioral, recipient, and network signals rather than relying on sender-level transaction rules.
Protect every P2P interaction
Connect P2P to every layer of intelligence
Integrate wallet and P2P payment systems, customer and account data, and recipient data with dEdge, Identity & Risk Signals, Knowledge Graph, Rules & Features, machine learning, Decisioning, and Case Management.
Common questions
What is P2P payment fraud?
P2P payment fraud includes fraud and scams in person-to-person transfers—compromised accounts, manipulated senders, risky recipients, mule activity, and authorized payments induced by deception.
How does DataVisor spot a manipulated payment?
DataVisor compares each transfer with the sender's normal behavior and evaluates recipient and network context, distinguishing manipulated payments from ordinary P2P activity.
Will warnings and holds slow down regular transfers?
Targeted warnings or holds apply where risk warrants, keeping ordinary transfers moving.
Protect every person-to-person payment
See scam, recipient, device, and network-risk workflows for P2P payments.