From the largest global organizations to the smallest companies, financial crime has become an increasing concern for all. Moreover, when it comes to fraud, it is not only limited to monetary losses, but its impact extends to reputation, customer trust and loyalty, business relations, shareholder confidence and the bottom line. That’s why detecting and preventing financial crime has become essential for all eCommerce merchants, financial services firms, and small/mid digital lenders.
Although banks are a favorite target for hackers, they are also among the most sophisticated enterprises in the world from a security perspective. Banks have begun to embrace promising technologies like machine learning, predictive analytics, and other artificial intelligence techniques to defend themselves against potential breaches and data loss proactively.
Financial companies can now respond to fraudsters’ techniques as they appear using SIA platform (Softweb Intelligence and Analytics), as it is aimed at monitoring, analyzing, learning and predicting human behavior. SIA can detect even the smallest changes in shopping behavior of customers which means that they can track and assess the risk. Not only does SIA become smarter with every transaction as the process is fully automated, but it can also detect new trends with the help of outlier detection and network analysis.
Whether they make a financial transaction using a mobile phone, IoT device, internal network, a website, an app, or payment cards; at every potential access point, they are adding more protection to the database themselves that holds the key to the information the criminals are after. The use of innovative technologies to combat fraud is now a worldwide phenomenon.