About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

NICE Actimize Launches AI-Based AML Transaction Monitoring Platform

Subscribe to our newsletter

NICE Actimize has launched its Suspicious Activity Monitoring (SAM-10) solution, which uses AI techniques to apply multi-layered analytics to the AML transaction monitoring process. NICE Actimize reckons the approach is able to detect more suspicious activity while reducing false positives.

SAM-10 is an upgrade to NICE Actimize’s existing AML solution, and forms part of NICE Actimize’s Anti-Money Laundering suite of solutions. The new SAM-10 solution’s entity-centric AML approach delivers data to enrich profiles and multiple layers to segment, monitor, and ensure that only truly suspicious activity is identified.

SAM-10 also offers next-generation analytics, including machine learning for advanced anomaly detection, model optimization, and network risk analytics, helping to detect suspicious relationships and transaction patterns accurately.

According to NICE Actimize CEO Craig Costigan, “For financial institutions to be more effective, monitoring technology that explores relationships with connected parties, understands suspicious connections, and accurately follows the flows of funds has become increasingly important.” With its collective intelligence capability, SAM-10 optimizes detection thresholds, and can quickly develop new models based on industry-wide learnings, with all artifacts delivered for easy explainability and model risk management reviews.

While increasing the identification of suspicious activity, SAM-10 supports regulatory compliance and improves alignment to a risk-based approach to transaction monitoring. This approach means fewer false positives and more meaningful, truly suspicious alerts so that investigation teams can focus their efforts on risk.

Nice Actimize says SAM-10s other main benefits include:

  • Enhanced Coverage: With NICE Actimize’s extensive catalogue of out-of-the-box detection models, advanced analytics, and network risk detection, SAM-10 extends and enhances detection coverage across all industry verticals, especially in helping identify suspicious connections between transaction counterparties using new network risk analysis detection.
  • Faster Investigations: Improved entity insights provide richer information and improved UI. The solution also offers network exploration capabilities for a visual understanding of relationships.

Flexible Deployment: Deployment options include on-premise or SaaS.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Managing Non-Financial Misconduct Under SMCR

Non-financial misconduct – encompassing behaviours such as bullying, sexual harassment, and discrimination is a key focus of the Senior Managers and Certification Regime (SMCR). The Financial Conduct Authority (FCA) has underscored that such misconduct is not only unethical but also poses significant risks to a firm’s culture and operational integrity. Recognizing the profound impact on...

BLOG

MiFIR Schema 1.4.0 Rollout: Testing Clarity Still Pending – April Deadline Remains

As of mid-February 2026, the European Securities and Markets Authority’s (ESMA) MiFIR reporting webpage continues to indicate that a dedicated test environment for updated transparency messages would open in February, with exact dates to be confirmed in January. No detailed testing calendar has been published at the time of writing. The result is a compressed...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...