Non Human Behavior Analytics: Fight against Trojans with Apache Spark

GMV is using artificial intelligence techniques to help cybersecurity teams prevent banking fraud in their fight against new-generation Trojans. Today’s tools are not able to detect certain types of malware, which typically fly under the radar of any user’s habitual operations.

At OpenExpo, the benchmark open source & free software event, GMV has taken the chance to present the company’s latest breakthroughs in the ongoing fight against this problem. José Carlos Baquero, Manager of the company’s Big Data and Artificial Intelligence division, led a session to show how, tapping into the Apache Spark framework and a groundbreaking behavior characterization technique, GMV is able to protect its clients from attacks launched by the mafias lurking behind banking Trojans.

GMV proposes a trailblazing web-session characterization and coding technique that shows up the footprints of illicit activity in any user’s Trojan-affected remote banking transactions. Used in combination with automatic learning algorithms it has enabled the company to develop an efficient, adaptive and flexible solution for a random and ever-changing type of fraud. A sine qua non here is real-time detection.

Visitors to GMV’s stand at the event could check out the possibilities offered by facial recognition technology, using an application developed by GMV’s Big Data and Artificial Intelligence department especially for OpenExpo. They also had the chance of interacting with Alexa, an obedient virtual assistant developed by Amazon to deal with daily chores.

This year’s Open Expo has once more broken attendance records, attracting a turnout of over 5000 trade visitors and presenting more than 120 papers dealing with the latest trends in open source & free software in such fields as IoT, robotics, blockchain, artificial intelligence, augmented reality and cybersecurity.