The explosion of machine learning, data science and artificial intelligence research and applications in the past few years present both great opportunities and great risks for cybersecurity managers and practitioners. Organizations need to clearly understand the fundamentals of machine learning algorithms, including their current capabilities and limitations, before facing the vast array of tools, applications and groups eagerly offering solutions.
This presentation will discuss some of the recent advances and applications of machine learning and artificial intelligence capabilities for the cybersecurity of critical infrastructure. We will focus on understanding the limitations of the algorithms (and implementations) to determine the potential impacts to both security and safety. Most importantly, we will discuss ways to assess and evaluate these capabilities from an overall risk management perspective.
Identify machine learning capabilities that can improve the cybersecurity of critical infrastructure.
Discuss the potential risks with machine learning capabilities and their implications.
Discuss the ways to assess whether a machine learning algorithm (or system) will work to improve the cybersecurity of their critical infrastructure assets.