White House Prepares Order to Boost AI Security, Hassett Says

Why It Matters

A formal AI‑safety framework could impose new compliance costs on developers while protecting critical infrastructure from emerging cyber threats, reshaping the competitive landscape of the U.S. AI industry.

Key Takeaways

• White House drafts AI vetting order after Anthropic's Mythos reveals vulnerabilities
• Proposed framework likens AI safety review to FDA drug approval process
• Commerce Dept. expands voluntary AI testing program with Google, Microsoft, xAI
• Potential mandatory testing could reshape AI development across all U.S. firms

Pulse Analysis

Anthropic’s Mythos model has sparked alarm in Washington after researchers showed it could systematically uncover network flaws, raising the specter of AI‑driven cyber attacks on both corporate and government systems. The model, currently limited to a select group of large tech and financial firms, has become a flashpoint as the Trump administration pushes for broader access to evaluate federal infrastructure. This heightened scrutiny reflects a broader recognition that advanced generative AI can be weaponized, prompting policymakers to act before the technology proliferates unchecked.

In response, senior officials are shaping an executive order that would establish a formal vetting pipeline for emerging AI systems. Hassett’s comparison to the FDA suggests a rigorous, pre‑release safety assessment, potentially making testing mandatory for all U.S. AI developers. The order would require coordinated reviews between agencies and private‑sector partners to certify that models do not introduce exploitable vulnerabilities. If enacted, the rule could raise compliance costs, slow time‑to‑market for startups, and force established firms to allocate resources toward security audits, fundamentally altering product development cycles.

Simultaneously, the Commerce Department’s voluntary AI‑testing initiative has been broadened to include industry heavyweights such as Google, Microsoft and Elon Musk’s xAI, alongside OpenAI and Anthropic. This collaborative effort aims to create shared standards and provide the government with early insight into model capabilities. The dual approach—voluntary testing paired with a possible mandatory framework—signals a pivot from the administration’s historically hands‑off stance toward a more proactive regulatory posture. For businesses, the evolving policy landscape promises greater certainty around AI risk management but also heralds a new era of oversight that could shape investment decisions and competitive dynamics across the AI sector.