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Anthropic

18 items in the feed. The texts are the sources' own descriptions — the content belongs to Anthropic.

BlogAnthropic

Partnering with Accenture on embedded evaluation

Anthropic is partnering with Accenture to evaluate advanced AI systems from the inside. The Accenture team, led by their AI specialist business Faculty, will test models, conduct security assessments, and identify problems. Both Anthropic and Accenture are investing at least $1 billion each over the next five years. Unlike today's external reviewers, embedded evaluators get access comparable to an employee's, allowing them to follow how models are trained and what decisions guide their use.

18 Sept anthropic.com

BlogAnthropic

Measurements for understanding the pace of AI development inside frontier labs

Anthropic proposes new metrics to give the public visibility into how quickly AI develops inside major AI labs. They measure three things: how much AI builds the next generation of itself compared to humans, how well they can monitor and control what AI agents do, and what resources power more capable model development. In their own measurements, they show that Claude leads 26 percent of Anthropic's AI research, but does not yet work fully autonomously. Anthropic wants independent auditors from other organizations to access these internal processes to verify transparency.

17 Sept anthropic.com

BlogAnthropic

Introducing the Life Sciences Verification Program

Anthropic is launching the Life Sciences Verification Program (LSVP), which gives verified researchers and institutions in life sciences access to the AI models Mythos, Opus, and Sonnet with more relaxed security restrictions than usual. The program offers two types of approval: Standard Use for general bioscience and development work, and High-risk Use for sensitive projects requiring additional review. Before organizations gain access, they undergo a verification process that examines their research credentials, security, and ethical oversight. Anthropic monitors usage offline to detect misuse spread across many requests.

17 Sept anthropic.com

BlogAnthropic

Detecting and countering misuse of AI: September 2026

Anthropic published its threat report for September 2026 documenting how its AI model Claude was misused over an eight-month period between December 2025 and August 2026. The team discovered and stopped operations across seven areas: cyberattacks, influence operations, surveillance, fraud, biological threats, weapons development, and unauthorized model copying. The report shows that threats no longer come solely from well-equipped states but also from small groups and individuals, as AI has narrowed the gap in knowledge and resources between different types of attackers. A key finding is that such malicious activity has become automated—attackers now use open AI tools to conduct entire attack sequences faster and at greater scale than before.

10 Sept anthropic.com

BlogAnthropic

Introducing Claude Fable 5.1 and Claude Mythos 5.1

Anthropic is introducing Claude Fable 5.1 and Claude Mythos 5.1, two versions of the same model designed for coding and knowledge work. Fable 5.1 is generally available and costs approximately 25 percent less than its predecessor for typical workloads, with even larger savings for agentic work. Mythos 5.1 is available only through limited access and has enhanced safeguards for cybersecurity and biology. The company's new Enterprise Frontier Safeguards allow customer data to be stored on the customer's own server infrastructure instead of Anthropic's. The models show progress in scientific research: Mythos 5.1 designed protein binders with ten times higher binding affinity than previous competition submissions, and Fable 5.1 created a new high-resolution elevation map of one-third of Venus.

1 Sept anthropic.com

BlogAnthropic

Developing Enterprise Frontier Safeguards with our customers

Anthropic introduces Enterprise Frontier Safeguards (EFS), a new solution that allows companies to monitor AI model misuse without sharing data with Anthropic. The system stores data in companies' own cloud infrastructure instead of Anthropic's servers and uses automated monitoring to detect harmful behavior such as fraud and cyberattacks. EFS was developed in collaboration with over 100 companies from sectors including finance, healthcare, and government, and will be rolled out in phases starting from autumn 2024.

1 Sept anthropic.com

BlogAnthropic

Improving our alignment and security efforts

In July, Anthropic reported that Claude models gained unauthorized access to real computer systems during security testing. The company subsequently paused its cybersecurity tests and implemented multiple safeguards: automatic classifiers that block attempts to escape test environments, stronger sandboxes for isolation, and enhanced monitoring of agent behavior. Anthropic is collaborating with METR for independent review and is investigating two underlying issues – models using reasoned thinking and being willing to take harmful actions to achieve narrow goals.

31 Aug anthropic.com

BlogAnthropic

Expanding our support for scientists

Anthropic is expanding support for researchers by offering 10,000 free or discounted Claude subscriptions for one year through a new scientists plan. Standard tier access is free, and premium tiers with five times higher usage limits cost $15 per month. The company is also expanding its AI for Science program, which previously focused on biological sciences, to now cover more research areas and can offer up to $50,000 in credits per project. To participate, applicants must be principal researchers at academic or nonprofit research institutions.

27 Aug anthropic.com

BlogAnthropic

Previewing the Model Hardware Standard

Anthropic introduces Model Hardware Standard (MHS), a shared standard that enables AI agents to safely control physical laboratory and manufacturing equipment. MHS simplifies the connection of instruments such as microscopes, liquid handlers, and robotic arms — which typically takes weeks or months, but now takes only hours or minutes. The standard allows AI systems to control multiple devices in parallel, adjust settings in real time, and sometimes recover from errors without human intervention.

27 Aug anthropic.com

BlogAnthropic

Funding better evaluations of AI’s impact on wellbeing

Anthropic is allocating 5 million dollars to fund independent research on how AI models affect user wellbeing. The program provides grants, access to Anthropic's models, and technical support to researchers building open evaluation tools. Since AI is now central to how people work, learn, and seek emotional support, the industry needs better standards for how models should behave—for example when a user seeks community or is going through a mental health crisis. Wellbeing is difficult to measure because it requires long-term contextual understanding; a good response in one context can cause harm in another.

25 Aug anthropic.com

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