Amodei has argued that the capabilities of frontier AI models are advancing quickly enough to create new risks before companies and governments have developed adequate safeguards to manage them.

The warning comes as AI developers deploy systems with stronger reasoning, coding, research and scientific capabilities, increasing their potential usefulness while also expanding the ways they could be misused.

Anthropic, the developer of Claude, has made AI safety a central part of its corporate strategy and has published research and evaluations examining risks associated with increasingly capable models.

Capabilities are advancing faster than safeguards

Amodei has repeatedly emphasized the need to improve safety systems alongside model capabilities rather than treating safety as a separate stage after development.

The concern is that more capable models can perform tasks that earlier systems could not, potentially creating new security and misuse risks.

Those risks include assistance with cyber operations, biological research and the development of other forms of harmful activity.

Anthropic has responded by expanding its automated safeguards, model evaluations and monitoring systems. The company says it also investigates suspected misuse and updates its protections as it learns how users attempt to circumvent them.

The approach reflects a broader challenge for the AI industry: safety systems must anticipate capabilities that may not yet exist in deployed models.

Anthropic has reported attempts to misuse AI

The company’s concerns have been reinforced by its own investigations into AI misuse.

Anthropic recently disclosed cases in which users attempted to employ Claude for biological research that could potentially contribute to biological-weapons development. The company said it identified and disrupted five cases and strengthened its safeguards as a result.

Anthropic did not establish that the researchers intended to create biological weapons, and it withheld identifying information about the individuals and institutions involved.

The cases nevertheless demonstrated how increasingly capable AI systems can be used in sensitive scientific domains where legitimate research and potential misuse can overlap.

Anthropic has also reported other attempts to use its models for cyber-related activities and influence operations.

Safety evaluations face a moving target

One difficulty for AI safety researchers is that a safeguard developed for one model may not remain sufficient as later systems become more capable.

A model can gain new abilities through improvements in reasoning, tool use, coding or access to external information. Those changes can alter the risk profile even when the underlying system appears similar to earlier versions.

Anthropic therefore uses evaluations intended to determine whether new models cross particular capability or risk thresholds.

The company has introduced stronger protections when its assessments indicate that a model could meaningfully assist with dangerous activity.

That approach requires continual reassessment rather than a single certification that a model is safe.

Companies face pressure to develop stronger controls

Anthropic’s warning comes as governments and technology companies debate how much responsibility should fall on AI developers for controlling powerful models.

Governments have introduced or proposed regulations covering areas such as transparency, risk assessments and safeguards for high-risk AI systems.

At the same time, developers are competing to release increasingly capable models, creating pressure to move quickly while maintaining safety controls.

The tension is particularly pronounced for frontier systems that can autonomously perform multistep tasks, use software tools and operate with limited human intervention.

As those systems become more capable, conventional content moderation may be insufficient to address the risks associated with what a model can actually do.

The safety gap remains an industry challenge

Amodei’s warning points to a problem that extends beyond Anthropic.

AI companies are increasingly developing systems capable of supporting complex scientific, technical and professional work. Those capabilities can generate substantial economic and social benefits, but they can also lower the expertise or resources required to carry out certain harmful activities.

The central safety challenge is therefore not simply preventing models from producing obviously harmful text.

It is determining how to control systems whose capabilities continue to expand and whose potential uses can change as new tools, data and techniques become available.

For Anthropic, that means continuing to evaluate models and strengthen safeguards as capabilities improve.

For the wider industry, the warning underscores the difficulty of ensuring that governance and safety mechanisms develop at the same speed as the technology they are intended to control.

Reporting Credit: Anthropic — official statements and research on AI safety, model evaluations, frontier-model risks and safeguards; Anthropic CEO Dario Amodei — public remarks concerning the pace of AI development and safety preparedness.

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The cases were among misuse incidents identified between December 2025 and August 2026, according to Anthropic’s latest threat intelligence report. The company said it banned associated accounts, investigated the activity and used its findings to strengthen safeguards around biological research.

Anthropic did not identify the countries, research institutions or specific biological agents involved. It also said it was not asserting that the scientists involved intended to cause harm, emphasizing that biological research can have both legitimate and dangerous applications.

Anthropic identifies five biological-risk cases

The company described five cases involving different forms of advanced biological research.

One involved researchers working under a state-sponsored grant who sought assistance with gain-of-function research involving chikungunya virus. Anthropic said its biological safety classifier blocked the relevant request in May and that a subsequent investigation raised additional concerns about the research environment and attempts to circumvent regional restrictions.

Another case involved a researcher using Claude while planning experiments related to the adaptation of highly pathogenic avian influenza to mammals.

Anthropic also identified a case in which its Opus 5 model was used through a reseller platform to prepare a research grant application involving orthopoxvirus immune evasion. Two other cases involved the design or optimization of biological molecules and computational work involving toxins.

The company said the cases demonstrated how difficult it can be to distinguish legitimate scientific research from activity that could create serious biological risks.

Researchers attempted to bypass safeguards

Anthropic said some users attempted to circumvent restrictions imposed on its services.

In one case, a reseller platform routed traffic through U.S. infrastructure to bypass regional restrictions. The platform also used a system that could redirect requests rejected by Claude to other AI models with less restrictive safeguards, according to Anthropic.

The company said it banned accounts associated with the activity and worked with partners to disrupt the relay networks involved. It also said some operators subsequently attempted to regain access using new identities and other routes.

Anthropic said the incidents demonstrated that sophisticated users are actively testing AI safety controls and adapting their methods when restrictions interfere with their work.

Company says biological research presents a dual-use problem

Anthropic stressed that the underlying research cannot always be classified simply as malicious.

Scientific work involving pathogens, genetic changes or biological molecules can contribute to vaccines, treatments and other medical advances. The same knowledge can also potentially be used to increase the harmful properties of biological agents.

That dual-use nature makes automated detection particularly difficult, the company said. Researchers may also present sensitive work in terms that obscure its potential risks.

Anthropic said some actors appeared to use this ambiguity to maintain what it described as plausible deniability while seeking assistance from AI systems.

New models face stronger restrictions

Anthropic said its assessment of biological risk has changed as its models have become more capable.

Earlier evaluations of models such as Claude Opus 4 and Claude Sonnet 4.5 found that they were well below the company’s threshold for meaningfully assisting sophisticated users with dangerous biological research.

The company said it could no longer make the same assumption about newer models. As a result, Anthropic has introduced stronger safeguards on newer systems, including restrictions covering a wider range of dual-use biological research queries.

The company has also conducted controlled biological-risk evaluations and says its current approach combines model testing, automated safeguards, monitoring and investigations of suspected misuse.

Anthropic says no biological attack was established

Anthropic’s disclosure does not establish that a biological weapon was created or deployed as a result of the reported activity.

The company described the five cases as examples of activity that could support biological-weapons development. It said the purpose of the research could not always be established and that it was withholding identifying information partly because the people involved are working scientists.

The findings nevertheless point to a growing challenge for AI companies as increasingly capable models become useful for complex scientific work.

Anthropic said it plans to continue improving its safeguards and sharing relevant intelligence with authorities and other industry partners.

8. Reporting Credit: Anthropic — September 2026 Threat Intelligence Report on detected and disrupted misuse of Claude, including five biological-risk case studies, account enforcement, safeguard improvements and information shared with authorities and industry partners.

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