Using Real AI to Protect Real Users (435M of them)
Rajarshi Gupta
Abstract:
Recent years have seen heavy utilization of AI in security, but the complexities of a massively scalable production-quality security pipeline is often hard to grasp. In this seminar, we will discuss state-of-the-art AI techniques used to deter daily attacks, by drawing from experience of protecting 435M users (across PCs, mobiles, IoTs) at Avast. We will also identify gaps that exist between academic research in AI-Security, and the daily challenges of real-world attacker-defender contests. Finally, we suggest ways to bridge those gaps, to make the academic research more viable and valuable in real deployments.
Bio:
Rajarshi Gupta is the Head of AI at Avast Software, one of the largest consumer security companies in the world. He has a PhD in EECS from UC Berkeley and has built a unique expertise at the intersection of Artificial Intelligence, Cybersecurity and Networking. Prior to joining Avast, Rajarshi worked for many years at Qualcomm Research, where he created ‘Snapdragon Smart Protect’, the first ever product to achieve On-Device Machine Learning for Security. Rajarshi has authored over 200 issued U.S. Patents, and is featured on the wikipedia page for most prolific inventors in history.