Anthropic Disables Models After US Export Control Directive

Anthropic abruptly disabled access to its Fable 5 and Mythos 5 models after receiving a US government directive at 5:21pm (ET) to halt access by foreign nationals, a move that underscores escalating concerns around artificial intelligence security. Despite rigorous testing with US and UK government agencies, a method of bypassing Fable 5’s safeguards was demonstrated. Anthropic asserts these vulnerabilities are not unique to Fable 5, as other publicly-available models can discover them without requiring a bypass. The company maintains its safeguards are more effective than those of previous models, even though the government’s action highlights the difficulty of fully securing even heavily red-teamed AI systems.

US Government Directive Suspends Fable 5 and Mythos 5 Access

This action, citing national security authorities, underscores the escalating scrutiny of advanced artificial intelligence systems and their potential misuse. Anthropic asserts the vulnerabilities are not unique to Fable 5, despite rigorous testing. The government’s directive did not specify the exact national security concern prompting the suspension, but Anthropic understands it relates to a newly discovered method of bypassing Fable 5’s safeguards. This revelation contrasts with Anthropic’s earlier assertions that its safeguards are more effective than those of previous models and that users had complained they were overly broad. The company maintains its “defense in depth strategy” with Fable 5, aiming to make jailbreaks narrow or expensive, combined with 30-day customer data retention for monitoring and mitigation.

Anthropic disputes the government’s decision to recall a commercially deployed model, stating that if this standard was applied across the industry, it would essentially halt all new model deployments for frontier model providers. The company believes the government should have a transparent, fair, clear, and technically grounded statutory process, and that this action does not adhere to those principles. Anthropic will share more details within the next 24 hours.

In fact, our safeguards are so strong that many users have complained that they are overly broad.

Anthropic

Identified “Jailbreak” Technique & Model Safeguard Effectiveness

Despite rigorous testing with the US government, UK AISI, and third-party organizations, Anthropic encountered a newly discovered method that revealed a small number of previously known, minor vulnerabilities within the model’s safeguards. The government’s action highlights a bypass technique that doesn’t expose a unique flaw in Fable 5, but rather the ability to access vulnerabilities already present in other models. The company emphasizes that the identified vulnerabilities are more effective than those of previous models and are widely available from other models, including OpenAI’s GPT-5.5, which is used daily by cybersecurity professionals. To date, the government has only provided verbal evidence of this potential, narrow, non-universal jailbreak, which Anthropic describes as prompting the model to analyze a codebase and identify software flaws.

This strategy is directly linked to the company’s recent policy change requiring 30-day retention of customer data with Fable, a measure Anthropic admits carries real costs but allows for research and mitigation of potential exploits. GPT-5.5 is used daily by cybersecurity professionals, demonstrating the prevalence of similar vulnerabilities across the industry.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: