The Playbook to Stop Polymorphic AI Fraud
Run compliance operations with an AI co-pilot
DataVisor’s AI supercharges AML operations — summarizing alerts, suggesting rule parameters, automating manual tasks, and helping teams make faster, smarter decisions without coding.
Summarize, tune, and automate the busywork
An AI co-pilot that explains alerts instantly, tunes rules with explainability, and automates the manual work around them.
Understand alerts instantly
AI-generated summaries give analysts context on why an alert fired before detailed review — assistive, and never a replacement for analyst review.
Optimize performance with AI
AI-assisted rule parameter suggestions and automated rule tuning reduce false positives, with clear explanations for each optimization.
Less manual effort
Automate manual tasks — alert triage, risk-based automated closure of low-level alerts, and SAR/CTR autofilling — to boost productivity.
AI in the compliance loop
Alerts and cases flow through the platform while AI summarizes and suggests — low-risk items can auto-close under policy, and analysts review everything else.
AI in the compliance loop
Alerts and cases flow through the platform.
AI summarizes alerts and suggests optimizations.
Low-risk items can auto-close under policy.
Analysts review AI outputs.
Decisions and rationale are logged.
AI grounded in your case data
Because the AI is built into DataVisor, its summaries and suggestions draw on unified case data and cite the underlying context — with human review and audit logging throughout.
Across AML operations
Alert triage and summarization, rule tuning, automated low-level alert closure, and SAR/CTR autofilling.
More productive operations
AI-assisted rule tuning and automation lift analyst productivity and reduce false positives, with explainability throughout. Named a Leader in The Forrester Wave™: Anti-Money-Laundering Solutions, Q2 2025.
One AI across fraud and AML
The same AI co-pilot spans monitoring, screening, investigation, and filing, so productivity gains compound across the lifecycle.
Governed, human-in-the-loop AI
AI outputs are assistive, cite underlying data, stay under human review, and are audit-logged; automated closures run to policy.
- AI alert summaries citing underlying case data
- Explainable rule-tuning suggestions
- Risk-based automated closure under defined policy
- SAR/CTR autofilling
- Full audit log of AI outputs and analyst decisions
Common questions
Does AI make compliance decisions?
No. AI is assistive — it summarizes and suggests; analysts review and the institution decides.
How does it reduce false positives?
Through AI-assisted rule tuning and parameter suggestions, with clear explanations for each optimization.
Give your team an AI co-pilot
See how DataVisor’s AI streamlines AML operations.