Detect financial crime
Flag money laundering, fraud or sanctions exposure in transactions or customers for a bank, insurer or payments company. 20 products across 5 companies in the Ludbee catalogue carry this task — all within one layer of the stack: 5 Application.
Filter the whole directory by this job to sort and compare these products.
Where these run
- SaaS
- 18 of 20 products that record it
- Self-hosted
- 3 of 20 products that record it
- Private cloud
- 2 of 20 products that record it
- Hybrid
- 1 of 20 products that record it
One product can run more than one way — the counts above are of records, not of products.
What this page does not claim
This list carries no score and no recommendation, and one order only: inside each layer, a company whose product for this task is marked AI feature — sold for another job, with AI as one function its own page names — comes after the rest, A–Z within each. The standing rule that applies to the whole directory applies here too: no payment changes a figure, a ranking or the order of any list, this one included. Nor can it yet say what governs any of these products once deployed — what data they can reach, what they are certified against, whether a vendor trains on what you send it. That field is defined in the ontology and is populated on none of the 3,888 products in the catalogue yet, so a page that leaned on it would be promising an answer the data cannot back. It will say so here the day that changes.
The companies
Application (5)
- C3 AI — C3 AI Anti-Money Laundering
- IBM — IBM Cyber Fraud (AI feature), IBM Trusteer Pinpoint Assure, IBM Trusteer Pinpoint Detect
- NiCE — Actimize Intelligence, ActimizeWatch Compliance, ActimizeWatch for AML, ActOne, CDD-X, IFM, SAM, SURVEIL-X, WL-X, X-Sight, X-Sight DataIQ
- SAS — SAS Financial Crimes Analytics, SAS Fraud Decisioning, SAS Fraud Decisioning for Claims, SAS Visual Investigator
- Quantexa — Quantexa Cloud AML (AI feature)