HOBOKEN, N.J.--(BUSINESS WIRE)--NICE Actimize, a NICE (Nasdaq:NICE) business and the leader in Autonomous Financial Crime Management, has expanded ActimizeWatch, its secure cloud-based analytics optimization solution, to apply managed machine learning and automation for laser-sharp Anti-Money Laundering detection with reduced false positives and a simpler road to regulatory compliance. The service now extends cloud-managed AI to Fraud and AML teams -- strengthening institutions’ overall Financial Crimes Unit.
Currently, FSOs are facing rapid changes with regulations, criminal typologies, and even their own business products, yet their financial crime detection and analytics remain inflexible. With costs of compliance steadily rising, this combination of factors has resulted in major strain on the financial investigation units (FIUs) responsible for identifying suspicious activity and reporting it. Market advisory studies have shown that false-positive rates continue to be as high as 95-97 percent in what has become a defacto standard for the industry. Managing analytics in the cloud introduces cost-predictability and reduces the spend previously required to tune AML systems.
ActimizeWatch for AML eliminates the challenges of keeping AML systems alerting efficiently to continuously produce true-positives that are more likely to yield suspicious activity reports. The solution applies machine learning and automation to proactively monitor the performance of analytics and adapt rules and models rapidly to better detect patterns and reduce false-positives. ActimizeWatch also offers FSOs the ability to benchmark their AML performance against similar institutions, a consortium benefit that helps them adapt their models before any degradation of performance. Its performance dashboards also provide clear explanations for regulators.
“Today, we can use Augmented Intelligence for Financial Crime, advanced analytics and automation, to change the game in AML monitoring and reduce the cost of compliance,” said Joe Friscia, president, NICE Actimize. “Additionally, cloud managed analytics brings the power of machine-learning to financial institutions of all sizes, eliminating the need to build out extensive data science teams onsite.”
Since launching ActimizeWatch last year, machine-learning for fraud prevention has created significant uplift in detection rates and the same transformation is expected to sweep across the Actimize AML user community.
For additional information:
- On NICE ActimizeWatch for Fraud and AML, click here.
- On NICE Actimize Autonomous Financial Crime Management (AFCM), click here.
About NICE Actimize
NICE Actimize is the largest and
broadest provider of financial crime, risk and compliance solutions for
regional and global financial institutions, as well as government
regulators. Consistently ranked as number one in the space, NICE
Actimize experts apply innovative technology to protect institutions and
safeguard consumers and investors assets by identifying financial crime,
preventing fraud and providing regulatory compliance. The company
provides real-time, cross-channel fraud prevention, anti-money
laundering detection, and trading surveillance solutions that address
such concerns as payment fraud, cybercrime, sanctions monitoring, market
abuse, customer due diligence and insider trading. Find us at www.niceactimize.com,
@NICE_Actimize or Nasdaq: NICE.
About NICE
NICE (Nasdaq:NICE) is the world’s leading
provider of both cloud and on-premises enterprise software solutions
that empower organizations to make smarter decisions based on advanced
analytics of structured and unstructured data. NICE helps organizations
of all sizes deliver better customer service, ensure compliance, combat
fraud and safeguard citizens. Over 25,000 organizations in more than 150
countries, including over 85 of the Fortune 100 companies, are using
NICE solutions. www.nice.com.
Trademark Note: NICE and the NICE logo are trademarks or registered trademarks of NICE Ltd. All other marks are trademarks of their respective owners. For a full list of NICE’s marks, please see: www.nice.com/nice-trademarks.
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