Clari5 Resource CenterBrowse through our repository of best practices to learn how Clari5 can help your bank stay ahead of the fight against financial crime.
Business intelligence (BI) solutions are not new to banking. With a blend of tools, techniques, and technology, BI processes information with accuracy, which otherwise would have been performed by humans. BI solutions have been enabling banks with capabilities to generate more revenue, reduce costs, mitigate risks, and more.
Open banking (under the European Union’s Revised Payment Services Directive or PSD2), means third parties can link up to customers’ accounts, provided the customer consents. With data-sharing as the central feature, open banking is designed to encourage higher product and service innovation, make it easier for non-banks to participate and streamline user experience.
The business value of anomaly detection use cases in banks is obvious. From credit card fraud to check fraud to money laundering to cybersecurity, precise and quick anomaly detection is necessary to conduct business, protect customers and protect the bank from potential losses.
Cross-border payments form an enormous chunk of transnational cash flow. However, the boon has not been without a bane – the risk of fraud.
Increasing instances of related party transactions (RPT) fraud in banks seem to be making the old ‘blood is thicker than water’ saying truer by the day.
By watching out for internal fraud schemes as they happen, real-time technology helps banks respond to threats faster, prevent financial losses and reputational damage.
Even as banks further tighten controls and processes for fraud risk management, they also need to consider some of the key technologies now available to combat fraud.
Robotic Process Automation is driving smarter, cost-effective financial crime risk management. Clari5 explores RPA-integration in bank fraud investigations.
One in every 2500 calls to an IVR is fraudulent. With advancements in AI and ML, IVR systems can be made to deliver a richer and more secure customer-centric experience.
One can leverage Machine Learning as the situation warrants in a smart way, it shouldn’t be force-fit into every situation which could otherwise be handled successfully. With the advent of newer technologies, we can expect fraudsters to invent more novel attempts. So, it is imperative that the Fraud Management System is continuously enriched to discover emerging fraud patterns and arrest them from occurring.