A sudden federal directive makes your AI playbook vulnerable
Government intervention in AI models is now a documented vendor disruption scenario.
Stephanie Nivinskus is principal at Ragan’s Center for AI Strategy.
Six weeks ago, I published an AI vendor risk playbook built around the scenarios comms teams should prepare for. A federal directive wasn’t one of them. I’d never seen the US government order an AI company to suspend access to a tool.
The vendor targeted is Anthropic. Hype around the company’s newest releases, Fable 5 and Mythos 5, was extraordinary. Fable 5 was said to be the most powerful AI model ever made available to the public. Mythos 5 was described as the most powerful AI cybersecurity tool in the world. Both launched June 9. Three days later, a federal directive pulled them both.
What made the directive so jarring was the government had been involved before launch, red-teaming Fable 5’s safeguards and co-developing Mythos 5 through Project Glasswing. That same government then ordered both models shut down and users who had built workflows on either model heard nothing until access was already gone.
Your monitoring program has a blind spot
Most vendor risk monitoring programs watch for technical signals: degraded output, service interruptions or pricing change. The government doesn’t play in that sandbox. That’s why comms needs a Plan B.
Someone in your organization almost certainly had Fable 5 exposure. Not necessarily on the comms team, but in IT, marketing, product or a developer workflow. They have questions. It is your responsibility to answer them.
What to add to your AI vendor risk playbook now
Monitor regulatory signals, not just vendor status pages. Add a standing 10-minute weekly scan of AI policy developments, such as federal agency guidance, congressional hearings and export control activity, to whoever currently owns your vendor monitoring. The Anthropic directive came from export control authority. Your team needs to understand what that means. Now.
Build a holding statement for government-action scenarios. My original framework recommended drafting holding statements for three scenarios: outage, quality regression and pricing change. Add a fourth. Government intervention moves faster than any of those, which means pre-approved language matters more, not less. Draft it now, get legal signoff and store it alongside the others.
Map AI exposure across the organization, not just within comms. Your vendor dependency audit should not stop at the tools your team uses. If IT, marketing or product are using frontier AI models, you need to know which ones, what they support and who owns internal communication when access disappears. The teams that knew their exposure on Thursday could respond. The teams that discovered it from employees asking questions could not.
Being caught off guard this time was understandable. Nobody had seen a federal directive pull an AI model before. Next time, you won’t be able to stand behind the same defense.
