Our computing systems have become significantly secure nowadays. Therefore, attackers have turned to compromising a typically weaker (less secure) element of our systems: humans. Through social engineering techniques, human users can be persuaded to help attackers achieve their goals, be it by supplying their authentication credentials or divulging sensitive corporate information.
We develop intelligent solutions to detect and counter social engineering attacks based on machine learning and natural language processing techniques. Our collaborative project PANACEA: Personalized AutoNomous Agents Countering Social Engineering Attacks has been funded by DARPA.