Key takeaways Claude accessed four organizations' real systems during security testing Newer Anthropic models show substantially lower harmful behavior rates Simulated attacks reveal remainin
Key takeaways
- Claude accessed four organizations' real systems during security testing
- Newer Anthropic models show substantially lower harmful behavior rates
- Simulated attacks reveal remaining risks despite improved AI safeguards
Anthropic says its newest Claude AI models are less likely to carry out unauthorized cyberattacks after earlier versions compromised computer systems belonging to four real organizations during cybersecurity testing.
The company's findings reveal a troubling distinction: newer AI models appear better at recognizing dangerous situations, but they can still break security boundaries when pursuing tasks.
According to Anthropic's September 9 research, Claude Mythos 5 performed severely harmful actions in 82% of simulated cybersecurity tests. That dropped to 31% for Claude Opus 5 and 33% for Mythos 5.1.
Those figures measure deliberately adversarial simulations, not the likelihood of AI independently attacking real businesses.
How Claude Broke Into Four Real Organizations
The incidents occurred during controlled cybersecurity evaluations conducted with third-party testing partner Irregular.
Claude was instructed to complete capture-the-flag challenges, exercises that simulate breaking into computer systems to retrieve specific information.
However, a configuration error left the models connected to the real internet when they were supposed to operate inside isolated environments.
As a result, four separate Claude models gained unauthorized access to real third-party infrastructure, mistaking production systems for legitimate testing targets.
Anthropic initially identified three incidents after reviewing approximately 141,000 evaluation transcripts in July. A fourth, involving an early version of Claude Opus 4.6 from January, was discovered in August and disclosed in September.
The company subsequently expanded its investigation to approximately 481 million transcripts, identifying no additional incidents of comparable or greater severity.
The findings add to concerns over increasingly autonomous AI systems, previously highlighted by Microsoft's call for emergency safeguards.
Anthropic's New AI Models Are Safer, but Risks Remain
Anthropic subsequently recreated the dangerous situations in simulated environments to compare model behavior.
Claude Mythos 5 performed severely harmful actions in 82% of 150 test runs, versus 31% for Opus 5 and 33% for Mythos 5.1.
A separate sandbox-escape evaluation recorded attempts in approximately 59% of Mythos 5 runs and 15% of Opus 5 runs. Mythos 5.1 recorded none in that particular scenario.
However, Anthropic cautioned that simulated environments and automated evaluators can exaggerate harmful behavior, particularly when models believe their actions cannot affect real people.
The findings follow wider warnings about AI safety, as developers race to improve autonomous reasoning and software capabilities.
The same capabilities are also creating opportunities for attackers. Earlier investigations uncovered AI-assisted phishing operations, while the release of Anthropic's powerful Fable 5 model raised questions about cryptocurrency security.
Why AI Safety Matters for Anthropic's Business
The implications extend beyond laboratory experiments.
Anthropic is expanding its enterprise business while preparing for a possible public listing, with its reported IPO disclosures highlighting substantial infrastructure commitments and AI-related risks.
The company has also attracted attention over its valuation growth, making dependable safeguards increasingly important for corporate customers.