Cyber
384 Articles

Test, Standardize, Restrict: A U.S. Policy for Chinese AI Models
Neither banning Chinese advanced AI models nor ignoring their risks to national security will serve American interests.

Convening Before the Crisis: The Case for a Standing Public-Private National Security Forum
Congress should build a durable private-public standing forum in the next National Defense Authorization Act.

“In Focus” Syllabus Supplements: Artificial Intelligence, Emerging Technology, and National Security (2025–2026)
This syllabus supplement offers curated articles intended to be combined with traditional casebooks in a law or higher ed classroom.

Aggregating Illegality: The Accumulation of Events Doctrine in Contemporary Challenges
International law must adapt to AI-enabled ransomware threats to ensure accountability for the cumulative injury inflicted by their campaigns.

Regulate, Don’t Ban, Chinese AI Models
All highly capable AI models should be regulated through pre-deployment and ongoing testing. But any safety regime that works for domestic models should work for Chinese ones.

AI in the Military Domain: Multilateralism at a Crossroad
Recent U.N. discussions add a new forum on global governance and international norms on military uses of A.I.

Hiding in Plain Sight: The Geopolitics of Software Supply Chains
Software ecosystems are strategic infrastructure, yet they remain almost invisible within national security risk assessments.

It’s Not too Late to Fix the AI Exports Program
The administration must treat the program as economic statecraft rather than a vehicle for green-lighting deals industry would pursue anyway.

AI ‘Regulation’ in the Chokepoint State
President Trump’s new executive order on AI regulation rests on broad executive discretion and seeks to bypass judicial accountability.

Trump Drew the Right Map for AI Oversight, but Stopped at the Trailhead
Trump's new AI executive order creates the scaffolding for a workable regulatory regime, especially for cybersecurity risks, but failed to make it mandatory.

Too Dangerous to Deploy: Anthropic’s Mythos and What Comes Next
Mythos is a harbinger of the dilemmas that AI companies & governments will face in enabling the safe adoption of progressively more powerful models.

The Governance Gap Mythos Exposed—And How to Address It
When the consequences of one corporate decision can compromise the world’s digital infrastructure, industry self-governance is not enough.