The aim of the BruFence project is to design systems based on machine learning and big data mining techniques that allow sensible
and secure systems to automatically detect attacks and fraudulent behaviors.

Advanced persistent threat detection market as
well as scalable fraud detection is expected to have a high progression rate in the next years, therefore the project is twofold and
addresses researches on:
Automatic detection of threats and attacks against communication systems, managed file transfer and
collaboration platforms;
Automatic detections of fraud in large amount of transactions.