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Introducing the Life Sciences Verification Program
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.
Expanding our support for scientists
Starting today, 10,000 scientists around the world can get Claude at no cost to start. Verified principal investigators qualify for a Claude Team subscription plan and then add their research team to Standard seats for free, or Premium seats for $15 per month, for up to a year.
Improving Fable 5's biology safeguards
We’re making updates to Claude Fable 5’s biology safeguards in a way that substantially reduces false positives. Fable 5 users will now experience many fewer “fallbacks”—where the system switches to a less capable model after they make a biology-related query.
An off switch for dual-use knowledge in AI models
New results on a method of controlling access to potentially dangerous AI capabilities
Anthropic’s Responsible Scaling Policy: Version 3.0
An update to Anthropic's policy to mitigate catastrophic risks from AI
Next-generation Constitutional Classifiers: More efficient protection against universal jailbreaks
Constitutional Classifiers++ improve on our previous approach, yielding a system that is even more robust, has a much lower refusal rate, and is dramatically cheaper to run.
Sharing our compliance framework for California's Transparency in Frontier AI Act
Anthropic's Frontier Compliance Framework discloses how we assess and manage catastrophic AI risks under California's Transparency in Frontier AI Act.
Why do we take LLMs seriously as a potential source of biorisk?
This article explains why we believe that evaluating biorisks and safeguarding against them is a critical element of responsible AI development.
Developing nuclear safeguards for AI through public-private partnership
Together with the NNSA and DOE national laboratories, we have co-developed a classifier that distinguishes between concerning and benign nuclear-related conversations with 96% accuracy in preliminary testing.
Developing nuclear safeguards for AI
Together with the NNSA and DOE national laboratories, we have co-developed a classifier—an AI system that automatically categorizes content—that distinguishes between concerning and benign nuclear-related conversations with high accuracy in preliminary testing.
Activating AI Safety Level 3 protections
We've activated ASL-3 Deployment and Security Standards from our Responsible Scaling Policy alongside the launch of Claude Opus 4.
Testing our safety defenses with a new bug bounty program
A new bug bounty program with HackerOne challenges red-teamers to find universal jailbreaks in safety classifiers we haven't yet deployed.
Progress from our Frontier Red Team
What we've learned about the trajectory of national security risks from frontier AI models, and best practices for evaluating those risks.
Statement from Dario Amodei on the Paris AI Action Summit
A statement from Anthropic's CEO calling for greater focus and urgency on AI.
Constitutional Classifiers: Defending against universal jailbreaks
A paper from Anthropic describing a new way to guard LLMs against jailbreaking.
The case for targeted regulation
Powerful AI brings remarkable capabilities and significant risks. Governments should urgently take action on AI policy in the next eighteen months.
Announcing our updated Responsible Scaling Policy
A significant update to our Responsible Scaling Policy, the risk governance framework we use to mitigate catastrophic risks from frontier AI.
Expanding our model safety bug bounty program
We're expanding our bug bounty program with a new initiative focused on finding flaws in the mitigations we use to prevent misuse of our models.
A new initiative for developing third-party model evaluations
A new initiative to fund evaluations developed by third-party organizations that can effectively measure advanced AI capabilities.
Reflections on our Responsible Scaling Policy
Lessons from implementing our first Responsible Scaling Policy, which focuses on catastrophic safety failures and misuse of frontier models.