Krishna Narayanaswamy, Netskope's Founder and CTO, is a highly regarded researcher in deep packet inspection, security and behavioral anomaly detection and leads Netskope's research efforts in data and threat protection. Previously he founded Top Layer Networks and served as a distinguished engineer at Juniper Networks. He holds over 50 patents that range from security to accelerated packet processing to data classification.
How Artificial Intelligence and Machine Learning techniques can address data protection and threat challenges in today’s world?
Cyber threats are constantly evolving and posing challenges for security practitioners to deploy effective defense mechanisms to protect the sensitive data of organizations, whenever the user is connected from the office or working remotely. The emergence of privacy regulations throughout the world, most of which impose hefty penalties for data breaches can cause severe damage to business continuity. With digital transformation being accelerated at a high pace, the rate of data generated in organizations is growing exponentially and residing most often outside the traditional boundaries. These trends have exposed the inadequacy of the legacy security controls in the enterprise and usher the need for rethinking the data protection strategy. An area of computer science that has seen great strides in advancement in the past decade is Artificial Intelligence and Machine Learning (AI/ML). In this session we will discuss how AI/ML techniques can be leveraged to address the above mentioned data protection challenges. Additionally we will also cover how AI/ML techniques can provide a lending hand for detecting threats from external actors as well as insiders in the organization.