IBM is diving into the emerging field of behavioral biometrics with a new upgrade for its digital banking security system. Called IBM Security Trusteer Pinpoint Detect, the system now uses machine learning to build profiles of how users interact with their devices.
Those profiles are based on subtle gestures such as how a given user moves the mouse, and those gesture models can be used to detect the behavioral anomalies that can emerge when a fraudster is trying to access data using hacked credentials. The technology was built in partnership with researchers from Israel’s Ben-Gurion University, and the resulting solution is aimed primarily at financial services institutions to improve their online security; adding to the security pitch is the fact that it’s a software solution, meaning no special equipment is needed to deploy it.
There are already other such solutions on the market. NuData, for example, has helped to pioneer this field with its NuDetect platform, which similarly tracks behavioral biometrics as well as other data to establish a fraud risk score for site users. But it’s a nascent field with still-evolving technology, so there’s still plenty of room for these offerings to differentiate themselves – or to join forces – as the financial services industry grows increasingly interested in these kinds of security solutions.
October 27, 2016 – by Alex Perala