Eastnets SafeWatch AML vs Nasdaq Verafin

Eastnets SafeWatch AML is a web-based compliance product for financial institutions that monitors transactions and supports financial-crime investigations. It analyses transactions online in real time and examines historical transaction data offline. Unsupervised AI models assess account behaviour, surface anomalous activity, and generate alerts intended to reduce false positives. Dynamic risk scores for customers, accounts, and transactions help prioritise alerts. Users can select preconfigured AML scenarios or build rules with the Rule Builder and Library. Network analytics add relationship context that transaction-level monitoring may miss, and configurable workflows can reflect an organisation’s investigation processes. A built-in goAML module formats and submits reports according to United Nations standards. The modular system centralises transaction data from institutional sources in a dashboard and can expand as needs change. Eastnets says it supports FATF frameworks, EU Anti-Money Laundering Directives, and OFAC requirements. Onboarding includes integration, scenario configuration, and training, with ongoing regulatory updates and model recalibrations. Pricing is on request; the product page invites customers to request a demo.

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.