The Use Of Offensive AI In Cyber Security
Cyber Security Digital Summit Fall 2019
In this Cyber Security Digital Summit session, understand the motivations behind adopting AI for attacks, a short term perspective and long term perspective of Offensive-AI and case study examples of real-life situations
Recent years have seen breakthroughs in the use of ML and AI, where huge benefits are gained in fields like autonomous vehicles, healthcare, cyber defense etc. Cyber attackers are always looking to improve their ROI when it comes to cybercrime, and they are extremely innovative when it comes to that. In this session, discover how we anticipate adversaries to start using ML & AI in offensive cyber security.
- Understand the motivations behind adopting AI for attacks
- A short term perspective and long term perspective of Offensive-AI
- Case study examples of real-life situations
Max Heinemeyer, Director of Threat Hunting, Darktrace
Host:
Jeff Orr
Editor In Chief
Cyber Security Hub
Jeff Orr is a veteran technology strategist, conference producer, and industry analyst passionate about the way people interact with systems and machines through emerging technologies and new user experiences. At Cyber Security Hub, he oversees all editorial direction of its complete portfolio of online products -- as well as engages a network of esteemed industry board members, analysts and key influencers to make CSHub a renowned resource for all things cyber security. Jeff was actively involved in the development and launch of industry-first products, including Wi-Fi and 4G solutions, and leading the wireless strategy for a Fortune 100 entertainment company. His research on emerging technologies includes AI, cyber security, Industrial IoT (IIoT), mobile computing, wearables, and user interfaces.
