As the volume and variety of regulated communications increase, the supervision challenges and risks for financial services organizations (FSOs) only become more complex. To address this, NICE Actimize, a NICE (NICE) business and the leader in Autonomous Financial Crime Management, has enhanced its Intelligent eCommunications Surveillance solution with next-generation machine learning capabilities, intelligent analytics and investigative tools to strengthen surveillance detection and case management, reduce false alerts, and drive down compliance costs.
While today’s heightened regulatory requirements place greater surveillance demands on FSOs, certain legacy surveillance technology may make the job harder. For example, lexicon-based surveillance systems (which focus on specific words rather than understanding the communications’ context) can overwhelm compliance analysts with false alerts, often leading FSOs to increase staff size to manage this volume. Analysts may also spend inordinate amounts of time manually reconstructing trades and managing investigations. The latest release of NICE Actimize’s intelligent eComms Surveillance solution addresses these challenges with intelligent analytics to improve detection and accuracy.
Chris Wooten, Executive Vice President, NICE, stated: “NICE Actimize is a pioneer in applying machine learning and AI to communications surveillance, and over the past seven years we’ve continued to enhance our capabilities in this area. Many leading financial institutions, both on the buy-side and sell-side, currently leverage our solutions to improve their compliance programs’ detection accuracy, total cost of ownership and efficiency. We’ve also been acknowledged by analyst firms for our robust and comprehensive analytics capabilities and promising roadmap. This newest release of our eCommunications surveillance solution, with its next-generation machine learning and our award-winning ActOne investigation and case management solution, brings communications surveillance detection and investigative efficiency to a whole new level.”
In addition to the above benefits, NICE Actimize’s Intelligent eCommunications Surveillance Solution, can:
- Reconstruct trades up to fifty times faster (in minutes instead of days or weeks), so analysts spend less time on manual work and more time proactively managing risk.
- Reduce the cost of compliance by automating compliance workflows and improving overall efficiency of compliance analysts by up to 80 percent.
- Reduce regulatory and business risk by using advanced machine learning techniques and Natural Language Processing (NLP) driven analytics and models to automatically review 100 percent of regulated employee communications.
- Achieve full compliance with MiFID II, Dodd-Frank and FX Global Code regulations around communications surveillance.
- Reduce Total Cost of Ownership (TCO) through intelligent analytics and cloud deployment.
How Intelligent eComms Surveillance Works
The new release of Intelligent eCommunications Surveillance, which adds machine learning classification on top of NICE Actimize’s already robust Natural Language Processing speech and text analytics, enables FSOs to more accurately detect risky communications and extract quote and trade details from communications. As analysts review flagged communications in the ActOne investigation and case management interface, they’re now able to classify those communications based on their relevancy, business topic and asset class. The system then learns from this feedback, to bolster detection accuracy even further.
The ActOne case management platform also applies automation and intelligence to the compliance investigation process. Robotics automate repetitive, manual investigative tasks, while policy-driven workflows guide analysts through each action they need to take. Analysts can also use ActOne to collaborate with team members, escalate cases, upload documents and notes, and share detailed findings, resulting in significantly streamlined investigations. The system can automatically reconstruct complete trades in minutes, by instantly searching and correlating billions of records across linked data sources (including trades, orders, voice recordings and electronic communications).