Presented by Blue Hexagon
The transformative power of deep learning is being applied to every aspect of our lives– from speech recognition and cancer imaging to autonomous driving cars. Deep learning is the security weapon of the future as attackers evolve their techniques using sophisticated malicious, morphing malware variants created at unprecedented volume and velocity. In fact, deep learning neural networks can learn and intelligently make decisions on malware, even zero days seen for the first time.
In this session, hear about how deep learning has evolved, why advances are possible today, and why it is ideal to address the new threat landscape of automated attacks without having to rely on an army of security analysts. Finally, explore a case study of how a multi-vector, polymorphic variant of the Emotet malware was detected with “deep learning inspection”. Deep dive into how the deep learning models were executed on different phases of the Emotet attack kill chain.