AI-Based Hacking and Defenses in a World of an Ever-Growing Attack Surface

Presented by

Dr. Srinivas Mukkamala, Co-founder & CEO, RiskSense Inc.

About this talk

The adoption of Internet of Things (IoT), Software-Defined Networks, and Microservices without proper security controls have created a broader attack surface for cyber adversaries, whereby a few infiltration vectors account for most compromises while facing less common and hard to detect infiltration vectors. In this context, Artificial Intelligence (AI) can bolster defenses by analyzing vast volumes of data and assist cyber security professionals in their day-to-day operations. However, the same tools can be leveraged by hackers to find their targets faster and launch attacks quicker to disrupt business operations and attack industrial controls. In this webinar, renowned cyber security expert Dr. Srinivas Mukkamala will discuss how “malicious AI” could make today’s “cyber carnage” even worse. He will share result from a research study that RiskSense conducted to illustrate how human expertise in combination with AI can be leveraged to mimic a human hacker to find vulnerable threat pairs and launch exploits at scale. Dr. Mukkamala will also discuss how to transition from the traditional human expert model to an AI-based interactive, and iterative model to defend against machine-driven high frequency attacks. About the Presenter: Dr. Srinivas Mukkamala is co-founder and CEO of RiskSense. He has been researching and developing security technologies for over 15 years, working on malware analytics (focuses on medical control systems and nontraditional computing devices), breach exposure management, Web application security, and enterprise risk reduction. Mukkamala was one of the lead researchers for CACTUS (Computational Analysis of Cyber Terrorism against the US). He has been published in over 120 peer-reviewed publications in the areas of information assurance, malware analytics, digital forensics, data mining, and bioinformatics. He has a patent on Intelligent Agents for Distributed Intrusion Detection System and Method of Practicing.

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