Fraud Detection with Graphs & ML
Time margins for detecting fraud are narrowing. The amount of interconnected data businesses need to process is increasing, and customers are demanding for faster and more automated interactions. Alongside this, fraudulent attacks in their various forms are becoming ever more sophisticated, and even utilising ML techniques themselves.
Being able to find hidden patterns and link unexpected events across your data is the key to being able to improve fraud detection efforts. But this needs to be done in real time, and likewise needs to incorporate smart insights and approaches to detect ever evolving scams. This is where Graph and Machine Learning comes in.
Graphs provide an excellent means to connect your data and identify the different relationships that exist within it. The true power comes when this is combined with various ML techniques. Not only can it help to uncover hidden insights but it can also reduce manual checks, and provide you with a means to continually learn how to stay ahead of the fraudsters. This saves you time, money and business.
