White House weighs AI oversight and asks Anthropic to limit Mythos access
Updated
Updated · The Wall Street Journal · May 8
White House weighs AI oversight and asks Anthropic to limit Mythos access
12 articles · Updated · The Wall Street Journal · May 8
Vice-President JD Vance raised concerns after an April call with tech chiefs, and National Cyber Director Sean Cairncross was tapped to lead the administration’s response.
Officials are considering an executive order creating formal review of the most advanced models, amid fears Mythos could help target banks, hospitals and water plants through cyberattacks.
The move marks a shift from the administration’s previously light-touch, China-focused AI stance, and comes as Washington and Beijing discuss AI risks before next week’s summit.
As AI becomes the ultimate cyber weapon, what new rules of engagement are needed for global digital security?
With AI discovering vulnerabilities faster than humans can patch them, how can government oversight possibly keep up?
Can AI hackers also become our best cyber defenders, or is a digital catastrophe now inevitable?
U.S. AI Policy Reversal in 2026: Managing the National Security Risks of Anthropic’s Mythos Model
Overview
In May 2026, Anthropic's AI model Mythos revealed a powerful ability to find tens of thousands of critical software vulnerabilities, sparking deep national security fears about its potential weaponization. This came after a period of deregulation initiated by the Trump administration in 2025, which dismantled earlier AI safety frameworks. Alarmed by the risks and a surge in AI-enabled cyberattacks, the White House blocked wider access to Mythos and began developing a structured oversight approach, including mandatory government reviews led by the Pentagon. Despite the Pentagon blacklisting Anthropic over ethical disputes, other agencies and private groups continue to rely on Mythos for cybersecurity, highlighting a complex tension between security and innovation amid growing global competition, especially with China.