Identity Fraud Prevention

Detect identity risk from onboarding through payments

DataVisor connects identity, device, behavior, transaction, and network signals into one profile that updates across key customer moments—so identity risk surfaces from account opening through payments, with clear reasons behind every decision.

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See how DataVisor turns identity into a connected risk layer.

Fraud Types/Identity Fraud
What You Can Accomplish

What you can accomplish with DataVisor

Entity Resolution

Resolve identities across every data source

Connect identifiers and related entities into a single, reliable profile.

Identity Risk Detection

Spot impersonation and synthetic identities

Detect impersonation, synthetic identity, and identity-mismatch risk before it reaches your customers or balance sheet.

Explainable Action

Act with clear, consistent reasoning

Apply risk-based approve, step-up, hold, review, or decline actions—each backed by explainable context.

Layered Intelligence

See the identity signals behind every decision

Combine Identity & Risk Signals, entity resolution, dEdge device and behavioral signals, Knowledge Graph relationships, and third-party identity and KYC/KYB enrichment with rules, machine learning, and decision flows.

How It Works

From identifier to informed decision

1

Match identifiers and supporting attributes to an entity.

2

Clean, join, enrich, and derive identity and risk features.

3

Compare current activity with device, account, transaction, relationship, and historical context.

4

Make a risk-based decision and carry identity context into investigations or case management.

Product Proof

See the full identity picture

Explore an entity profile with linked identifiers, device context, historical activity, related entities, risk factors, decision reasons, and the resulting action.

Linked identifiers
→
Entity profile
→
Risk factors
→
Decision reasons
Explore a connected identity profile.
Identity as a Connected Layer

Identity risk doesn't end at onboarding

Identity risk continues beyond onboarding. DataVisor treats identity as a continuous risk layer across onboarding, login, transactions, and investigations.

Coverage

Protect identity across the customer lifecycle

Synthetic identity Impersonation Stolen identity Identity mismatch Account opening Account takeover Risky account recovery Identity-linked payment fraud
Connected Platform

Connect identity to every decision

Identity & Risk Signals, dEdge, Data Orchestration, third-party identity and KYC/KYB providers, Knowledge Graph, Rules & Features, machine learning, Decisioning, and Case Management work as one.

Real-Time Decisioning → Device & Behavioral Intelligence → Knowledge Graph & Link Analysis → Identity & Risk Signals → Investigations & Case Management → Real-Time Data Orchestration →
FAQ

Common questions

What is identity fraud?

Identity fraud is the use of stolen, fabricated, manipulated, or mismatched identity information to open accounts, access services, or move money.

How is identity fraud different from account takeover?

Identity fraud uses false or stolen identity information, often to create new relationships. Account takeover compromises an existing, legitimate account. DataVisor addresses both with shared identity context.

Which identity data sources does DataVisor support?

DataVisor combines native identity and device signals with third-party identity and KYC/KYB providers.

See Identity Intelligence Live

Bring every identity signal into focus

See entity resolution, connected identity context, and risk-based decisioning working together.

Request a Demo →