Nasdaq Verafin vs Q2 Sentinel
Nasdaq Verafin
verafin.comQ2 Sentinel
q2.comSide by side
| Figure | Nasdaq Verafin | Q2 Sentinel |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Financial Fraud Detection Software | 7.7 (#5) | 6.9 (#9) |
| Founded | 2003 | 2004 |
| Intended customers | Verafin describes its platform as serving financial institutions, and its materials report that more than 2,600 institutions globally use it. | Q2 presents its risk and fraud management offering for banks and credit unions. |
| Pricing availability | The contact page directs interested organizations to request product information and a custom demo; it does not list product prices. | The Sentinel product page invites prospective customers to schedule a demo and does not state a price. |
| Purpose | Nasdaq Verafin provides financial crime management solutions for detecting, investigating, and reporting fraud and suspicious activity. | Q2 Sentinel uses machine learning, endpoint interrogation, and behavioral analytics to monitor user behavior in real time and help stop fraudulent activity. |
| Security | The company describes lifecycle security controls including field-level encryption, data hashing, application data masking, role-based access management, and cryptographic data destruction. | Q2 says its broader fraud protection combines behavioral analysis, anomaly detection, endpoint interrogation, zero-trust perimeter protection, and AI and machine learning. |
Plans
In their own words
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.