DEFEND WEBINAR | Agentic AI in Action: The Playbook from Best-Performing Fraud and Risk Teams
Bring alerts, evidence, entity relationships, device intelligence, transaction context, and guided AI into one investigation workspace. DataVisor helps teams prioritize the right cases, move through evidence faster, and reach better-supported decisions.
Prioritize the highest-risk work, assemble evidence automatically, guide investigators through a consistent process, and operate at whatever scale the queue demands.
Use risk context, configurable queues, grouping, and routing to focus investigators on the cases that deserve attention first.
Bring transaction history, customer data, device signals, linked entities, graph relationships, and other evidence into the case so investigators spend less time gathering and more time deciding.
Use configurable workflows, checklists, dispositions, QA controls, and Vera-guided investigation to help teams move consistently from alert to resolution.
Support bulk actions, collaboration, assignment, routing, and reporting for teams managing large investigative workloads.
Demonstrate a prioritized queue, the investigation workspace, linked-entity context, and Vera-guided steps in one end-to-end case.
Create or ingest the alert.
Prioritize and group related activity.
Assemble evidence and entity context.
Guide the investigator through required steps.
Record the disposition and retain the audit trail.
Feed outcomes back into detection where supported.
DataVisor carries the same ML, graph, device, identity, and transaction intelligence used for detection into the investigation experience, giving analysts richer context without reconstructing it manually.
Support fraud investigations, account takeover, payment fraud, fraud rings and mule networks, and applicable AML/compliance workflows from a configurable case environment.
Feature a customer result that quantifies faster reviews, higher analyst productivity, or improved detection from a connected investigation workflow. NASA Federal Credit Union is a strong candidate — confirm the approved case study and metric before publishing.
Give teams role-based access, case audit history, configurable queues and dispositions, QA/QC, collaboration controls, and governance around AI-assisted investigation.
DataVisor can use risk context and configurable operational logic to route and prioritize cases so teams focus on the highest-value work first.
Cases can bring together transaction, customer, device, behavioral, and relationship context, including Knowledge Graph views where configured.
Vera can guide investigation steps and help surface or summarize relevant context while keeping investigators in control of the final disposition.
Follow a high-risk alert from prioritization through evidence review, linked-entity analysis, and disposition.