The Playbook to Stop Polymorphic AI Fraud
Catch suspicious activity across every rail
DataVisor monitors transactions continuously with pre-configured, regulator-aligned scenarios and behavioral analytics — surfacing structuring, pass-through activity, and anomalous behavior for review, with far fewer false positives.
Pre-configured coverage, tuned to your risk
Start with regulator-aligned scenarios, add behavioral detection beyond static thresholds, and calibrate everything to your own risk profile.
Start with regulator-aligned coverage
Deploy out-of-the-box scenarios for cash structuring and CTR compliance, funds flow and pass-through activity, account and behavioral anomalies, high-risk geography and cross-border, and counterparty and business risk.
Go beyond static thresholds
Combine rules with behavioral analytics and machine learning to detect emerging and coordinated money-laundering patterns, not just fixed limits.
Calibrate to your risk profile
Risk-based threshold segmentation and scenario tuning keep alerts relevant, with AI-assisted parameter suggestions to reduce noise.
From transaction to reviewed alert
Transactions are ingested in batch or real time, scored against pre-configured scenarios and behavioral models, and routed to role-based queues for investigation with full context.
From transaction to reviewed alert
Ingest transactions in batch or real time.
Score against pre-configured scenarios and behavioral models.
Generate alerts into role-based queues.
Analysts investigate with full context.
Disposition or escalate to a case.
Detection and investigation in one loop
Monitoring, alerting, case management, and filing live on one platform, so every alert carries the context and audit trail investigators and examiners need.
Coverage across the AML lifecycle
Cash structuring and CTR, funds flow and pass-through, behavioral anomalies, high-risk geography and cross-border, and counterparty and business risk — across ACH, wire, check, RTP, and card.
Fewer false positives, more productivity
Risk-based threshold segmentation and AI-assisted tuning reduce false positives and lift analyst productivity. Named a Leader in The Forrester Wave™: Anti-Money-Laundering Solutions, Q2 2025.
One platform for fraud and AML
Transaction monitoring shares data, features, and case context with screening, customer risk rating, and filings — and with DataVisor’s fraud detection — for comprehensive financial-crime coverage.
Governed, auditable monitoring
Daily and monthly scenario processing, configurable thresholds, role-based queues, and a full audit trail support audits and examinations.
- Batch (SFTP/API) and real-time (Update API) ingestion
- Configurable thresholds and risk-based segmentation
- Role-based alert queues
- Full audit trail for exams and audits
- AI-assisted tuning suggestions to reduce noise
Common questions
Can we bring our own scenarios and thresholds?
Scenarios ship pre-configured and are fully tunable, with risk-based threshold segmentation and configurable parameters.
Does it work in real time and batch?
Yes. Transactions can be ingested and evaluated in batch or in real time / near real time.
Monitor smarter, not louder
See how DataVisor surfaces real suspicious activity with fewer false positives.