What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
Sanctions screening and fraud prevention solutions use real-time detection to prevent terrorist financing and financial crime; whereas anti-money laundering (AML) primarily follows an “observe and report” process. Such a process is all that is currently required by many regulators. Increasingly though, international compliance teams are choosing to stop transactions before they are executed – based on suspicions of money laundering activity. More and more, the industry has been asking itself if this approach of rejecting suspicious activity is a more effective strategy to prevent money laundering. This paper explores where and why AML real-time detection might make sense as a new paradigm for global financial institutions.
Global anti-money laundering (AML) standards have long required that understanding beneficial ownership be a part of a financial
institution’s AML program. Beneficial ownership outlines the identity of individuals with a controlling interest in a privately held company, enabling a financial institution to understand the ultimate beneficiary of a financial transaction. Identifying beneficial ownership can be a complex process, but it’s one that institutions must conquer if they are to remain in compliance with industry rules and legislation.
Featuring Andy Schmidt, Principal Executive Advisor
Knowing your customer is key to driving a successful strategy for client security and retention. Watch this video to get a picture of how KYC can be deployed for risk minimization, work with compliance, and make security measures more frictionless using cutting edge technology.
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.