Artificial Intelligence and Machine Learning Applied to Cybersecurity
In late 2017 IEEE convened 19 experts from Artificial Intelligence (AI), Machine Learning (ML), and cybersecurity sectors for a two-and-a-half-day collaborative session with the goal of collectively authoring a timely trend paper focused on the complex question:
Given the rapid evolution of AI/ML technologies and the enormous challenges we all face with respect to cybersecurity, what is needed from AI/ML, where can it be best applied, and what must be done over the next 10 years?
This esteemed group of individuals identified challenges associated with the question, proposed multiple topics for discussion that could potentially address the question, and then collectively prioritized six specific topics that must be addressed to answer the question. They collectively authored a paper focused on exploring these challenges and identifying the most viable solutions.
The paper is a deliverable of the IEEE Industry Engagement Committee, in cooperation with Syntegrity who provided their services pro bono. This project highlights the strategic dimension of connecting technology leadership through industry and into policy.
This is a new model of engagement that will expand with events at Rebooting Computing Week, to be held in November in Washington, DC, USA, and subsequently in other regions of the world.
For more details, please go to the Confluence Trend Paper webpage on IEEE.org.