As the banking industry continues to combat increasing fraud challenges, payment fraud is growing exponentially. This growth stems from a shifting payment landscape with new and varied payment options. Globally, governments are introducing new initiatives like faster payments and real-time payments which compress turnaround times. These initiatives are altering the
The Payment Services Directive 2 (PSD2) is a new European-wide regulation that requires European banks to make it easier to share customer transaction and account data (where the customer has given their consent) with third party providers, and it's the current hot topic across the payments industry in Europe. As
The revised EU Payment Services Directive (PSD2) has been a focal point for the financial services industry over the last couple of years and its adoption is set to revolutionise the payment ecosystem in Europe. New entrants, innovative technologies and increased regulation are already posing major challenges to traditional banks
Part 504 of the US Department of Financial Services Superintendent’s Regulations seems to significantly up the requirements for firms to conduct ongoing review and continuously improve their approach to anti-money laundering (AML) monitoring. But is it really very different from the intergovernmental Financial Action Task Force's broader suggestions to introduce
Machine learning is a type of artificial intelligence that uses algorithms to iteratively learn from data and finds hidden insights in data without being explicitly programmed where to look or how to find the answer. Here at SAS, we hear questions every day about machine learning: what it is, how it compares to
Being an industry disruptor is a lonely place to be – but if you’re successful, the rewards are well worth the initial risk. Betting big on your new way of doing things takes courage, and is only the first step in a risky process. Your next critical step is to
Currently, most fraud detection solutions for financial crime and tax fraud are focused on risk assessing entities. That is to say, they evaluate the risk of each individual or businesses separately. While this helps prioritize risk-based investigations by alerting investigators to the likelihood of fraud, it does not necessarily maximize deterrence.
Modeling risk to meet regulatory requirements is costly and complex. Because of that, some have suggested that financial services institutions (FSIs) move toward a set of standardized models. The argument is that central banks and regulatory authorities could then more easily monitor systemic risk and compare apples to apples. But
