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: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

Defensibility: The New Watchword for Data Management

George Tziahanas, VP of Compliance at Archive360. Regulated enterprises are discovering that the hardest part of scaling new technology such as AI isn’t adoption; it’s proving those technologies are properly controlled. For financial institutions in particular – including banks, asset managers, insurers, and capital markets firms – this challenge is intensified by long-standing regulatory expectations...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...