News

We’re donating Agent Skills, the open standard that gives AI agents specialized knowledge and workflows, to the Agentic AI Foundation. More than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot, and VS Code, have integrated Agent Skills since we published the standard in December 2025.

Today, we’re inviting members of the life sciences community to apply to work with us on special projects.

Dr. Christopher Stubbs, an experimental physicist and former Dean of Science at Harvard University, has joined Anthropic’s Long-Term Benefit Trust. He brings to the Trust decades of scientific expertise across observational cosmology and precision measurement.

We’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new entity with a structure that increases the stake as the company grows.

To evaluate the safety of our systems, Anthropic is giving employee-like access to a team from METR, a nonprofit that evaluates frontier AI models, and we're in early discussions with several other organizations, including Hugging Face.

Earlier this year, we shared an update on our election safeguards. Here, we outline how we’ve continued to strengthen these safeguards ahead of this year’s US midterms.

Anthropic has opened an office in Singapore and signed an MOU with the country’s government to advance safe, responsible AI adoption.

Illicit distillation allows model developers to copy frontier AI capabilities without creating proportionally robust safeguards. Here, we describe how we’ve reduced the rate of distillation by more than 90%.

We’re launching the Anthropic Cyber Mission, a long-term commitment to securing the systems everyone depends on.

We’re publishing a new version of our Usage Policy. In this post, we summarize the changes we’ve made.

Anthropic is committing $150 million over three years to the Genesis Mission, a federal initiative to accelerate scientific and technological discovery through AI.

Claude Haiku 5.5 is our fastest, most capable small model. Built for high-volume work like summarization, subagents, and browser use.

We’re launching a new, expanded version of our Cyber Verification Program, which makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals.

Anthropic is investing $100 million in Claude Frontier Academy to train 10,000 Frontier Deployed Engineers by the end of 2027, with cohorts from Accenture, Bain, CBA, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk already underway.

Barclays, the British universal bank, is expanding its strategic collaboration with Anthropic to integrate secure, enterprise-grade AI systems across its global operations.

Claude Sonnet 5.5 is a clear upgrade over Claude Sonnet 5, runs 30%+ faster, and costs up to 30% less for most work.

Claude Opus 5.5 leads in agentic coding and knowledge work, and costs 40% less to run than Opus 5 on typical workloads.

A rare Ebola strain is spreading in the DRC, with no confirmed vaccine. Global health organizations are using Claude to respond as fast as possible.

We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years.

The Life Sciences Verification Program (LSVP) gives life science professionals access to Claude Mythos, Opus, and Sonnet models with a refined set of safeguards more permissive for biology-related work.

They’re the world’s most advanced models for coding and knowledge work—and their research capabilities offer an early glimpse of how AI models will contribute to scientific progress.

We’re announcing Enterprise Frontier Safeguards (EFS), a solution that combines the privacy of zero data retention with state-of-the-art safeguards for detecting misuse. EFS works by storing data in cloud infrastructure controlled by the customer, not Anthropic.

On July 30, we reported three incidents in which Claude models gained unauthorized access to real computer systems. We are conducting an in-depth analysis of both incidents, and planning to work with METR for an independent review. In the meantime, we’re sharing some of the changes we’ve made over the past month.

We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers.