Machine learning may provide cyber attackers with the means to execute more effective and more destructive attacks against industrial control systems. As new ML tools are developed, CSET discusses the ways in which attackers may deploy these tools and the most effective avenues for industrial system defenders to respond.

Chris Rohlf is a Non-Resident Research Fellow at CSET, where he works on the CyberAI Project.

Geographical, the magazine of the Royal Geographical Society, reviews CSET Senior Faculty Fellow Ben Buchanan's latest book, which highlights the landscape of subtle but persistent cyber attacks that are changing statecraft.

Machine learning advances are transforming cyber strategy and operations. This necessitates studying national security issues at the intersection of AI and cybersecurity, including offensive and defensive cyber operations, the cybersecurity of AI systems, and the effect of new technologies on global stability. 

Plus, the Coronavirus and AI Jobs, DOE Funds $30M in AI Research, and China’s AI Advisory Committee

Rebecca Gelles is a Data Scientist. Previously, she studied at the University of Maryland.