Mythos

Mythos is an AI safety and governance organization focused on developing technical tools and frameworks for auditing and evaluating large language models. The group emphasizes practical approaches to AI risk assessment, particularly around model behavior, alignment, and potential harms that enterprises need to understand before deployment. For organizations building AI governance programs, Mythos provides methodologies and research that help translate abstract safety concerns into concrete compliance and risk management requirements.

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Corporate PolicyGlobal2026-07-24

Opus 5 Launches With 85% Fewer Safety Classifier Triggers and a Separate Data Retention Regime, Complicating Enterprise Privacy Programs

Anthropic released Opus 5, a new flagship model that operates under a substantially lighter safety classifier regime than its Fable 5 and Mythos counterparts, with classifiers expected to engage 85% less frequently. The model is exempt from the 30-day data retention policy that applies to other Anthropic models, creating a distinct compliance profile that enterprises must account for separately. Anthropic also introduced an opt-in Automatic Fallbacks feature that silently routes flagged prompts to a less capable model instead of returning an error.

Anthropic Opus 5 Fable 5 Mythos safety classifiers data retention API compliance model release