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Expose connected fraud rings from a single alert
DataVisor’s Knowledge Graph and unsupervised machine learning surface connected accounts, devices, beneficiaries, and suspicious relationships—so investigators can act across the broader operation from one connected view.
See hidden networks come into view.
What you can accomplish with DataVisor
Uncover hidden relationships
Discover suspicious clusters and the connections that link them.
Focus on the networks that matter most
Prioritize high-risk networks and assemble evidence across every connected entity.
Act on the network, then learn from it
Apply network-level controls, create grouped cases, and feed confirmed outcomes back into detection.
Graph intelligence built for action
Knowledge Graph and multi-hop link analysis, unsupervised machine learning, device and behavioral intelligence, identity resolution, transaction context, rules, and case-management workflows operate together.
From one signal to the full network
Ingest entity, device, transaction, account, and third-party data.
Build and update relationships as activity arrives.
Identify shared infrastructure, suspicious clusters, and money movement.
Prioritize the network, investigate connected entities, and apply controls or downstream actions.
Expand one alert into the full picture
Start with a single suspicious account, expand to linked devices, identities, beneficiaries, and second-hop relationships, then create a network case and take entity action.
From visualization to action
DataVisor connects graph, machine learning, device, behavioral, and transaction intelligence directly into detection and investigation—so investigators can turn connected relationships into decisions and actions.
Disrupt every kind of coordinated fraud
Network intelligence across the platform
Data Orchestration, Identity & Risk Signals, dEdge, Knowledge Graph, supervised and unsupervised machine learning, Rules & Features, Real-Time Decisioning, Case Management, Analytics, and downstream action systems work as one.
Common questions
What is a money mule?
A money mule is an account or individual used to receive and move illicit funds, often as part of a larger coordinated network.
How does DataVisor avoid flagging legitimate relationships?
Investigators see multi-hop relationships with full context and keep control over network actions, so legitimate shared attributes are distinguished from coordinated activity.
How large a network can DataVisor analyze?
DataVisor supports multi-hop analysis across large entity graphs.
Disrupt the entire operation
See network discovery, prioritization, investigation, and disruption workflows in action.