NICE Actimize was recently recognized as the recipient of the “Best KYC & Client Onboarding Solution” award at the A-Team Group’s 2024 Data Management Insight Awards USA event. This honor underscored the excellence of our innovative solution, X-Sight Onboard, which garnered the highest number of online votes from the data management community, validated by the A-Team Group’s editors and advisory board.
NICE Actimize has been recognized as a Category Leader in KYC solutions by Chartis Research in its recently released KYC Data and Solutions 2024 Vendor Landscape Report. This recognition underscores NICE Actimize’s commitment to delivering innovative and effective KYC solutions in an ever-evolving regulatory landscape.
Although Risk Appetite Frameworks (RAF) and BSA/AML programs undoubtedly have an impact on each other’s objectives, they are independent components of an organization’s risk management framework with purposes that are distinct from each other. Understanding these differences and the similarities is critical for organizations to focus on both the risks associated with money laundering and funding of terrorist organizations and doing so in the context of its organization-wide risk management strategy.
2026 will be here in a flash, and for Registered Investment Advisers (RIAs), this means the need to comply with AML regulations. The Financial Crimes Enforcement Network (FinCEN) recently introduced the “Final Rule,” adding new compliance requirements for RIAs.
The holiday season is upon us, bringing with it a surge of shopping, travel, and generosity. Unfortunately, it’s also a time when fraudsters sharpen their tools, exploiting our busy schedules and festive spirit to carry out their schemes. At NICE Actimize, we monitor these trends closely, equipping financial institutions (FIs) with the technology to protect consumers. But knowledge is just as critical as technology—understanding the threats is the first step to avoiding them.
As we move into 2025, the global landscape of fraud continues to evolve, driven by advances in technology, changes in regulatory frameworks, and the increasing ingenuity of fraudsters. As financial institutions (FIs) look to safeguard both their operations and customer trust, understanding emerging threats and strengthening fraud detection capabilities have become critical.
The integration of AI into Anti-Money Laundering (AML) programs has the potential to revolutionize how financial institutions ensure data governance. Generative AI, with its ability to predict, create, and automate, offers unprecedented opportunities to enhance the accuracy and efficiency of AML data. This article explores several ways AI can transform data governance in AML by offering an alternative path for financial institutions to execute on their data strategy, as well as simplify and enhance data management, completeness, quality, and integrity.
NACHA’s new rules kicked in on October 1, 2024, and they’re reshaping how community banks, credit unions, and small to mid-size financial institutions detect and respond to fraud. This isn’t just another policy update—it’s a game-changer aimed at tackling sophisticated credit-push payment fraud schemes. For financial institutions (FIs) that often face resource constraints, this shift demands quick action to stay compliant and protect customers.