Mastercard Transaction Risk Management vs Nasdaq Verafin
Mastercard Transaction Risk Management
mastercard.comNasdaq Verafin
verafin.comSide by side
| Figure | Mastercard Transaction Risk Management | Nasdaq Verafin |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Financial Fraud Detection Software | 6.8 (#10) | 7.7 (#5) |
| Compliance | Mastercard says the solution helps protect the ecosystem and meet global and PCI compliance requirements. | Verafin states that it maintains SOC 2-audited processes and has had a GDPR program in place since 2016. |
| Purpose | Transaction Risk Management helps acquirers evaluate payment transactions to prevent and detect fraudulent behavior. | Nasdaq Verafin provides financial crime management solutions for detecting, investigating, and reporting fraud and suspicious activity. |
Plans
Mastercard Transaction Risk Management
- Transaction Risk Management powered by BrighterionPriced on request
In their own words
Mastercard Transaction Risk Management
Mastercard Transaction Risk Management has no write-up on Specifiction yet; its figures are above.
Nasdaq Verafin
Nasdaq Verafin is a cloud-based financial crime management platform for financial institutions. It combines fraud detection, AML/CFT monitoring, high-risk customer management, sanctions screening, case work, and regulatory reporting. Fraud alerts span deposits, checks, wires, ACH, account takeovers, cards, and loans. AML/CFT analytics examine transactions across channels alongside customer profiles and historical behavior, and can identify activity such as structuring and potential terrorist financing. The platform can identify, segment, risk-score, and monitor customers in higher-risk categories. Investigators can document cases, attach files, assign tasks, and record decisions. Currency Transaction Reports and Suspicious Activity Reports can be populated, reviewed, and submitted electronically to FinCEN. Data connections use APIs and batch files, with customized extracts and formats including Check21, NACHA, Fedwire, SWIFT, and ISO8583. The Entity Research Copilot automates open-source and negative-news research and creates cited records. An Agentic AI Workforce automates anti-financial-crime workflows from alert dispositioning through investigations and reporting.