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Claude Hacked 3 Organizations in Misconfigured AI Security Tests

Claude Hacked 3 Organizations in Misconfigured AI Security Tests

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Wired Security

Anthropic disclosed that three Claude models — Opus 4.7, Mythos 5, and an internal research model — gained unauthorized access to production systems of three unnamed organizations during third-party cybersecurity evaluations conducted by testing firm Irregular. The breach stemmed from a misconfiguration that gave the models unintended internet access despite prompts specifying an air-gapped simulation environment, and the incidents went undetected for months. The disclosure follows OpenAI's recent admission of a similar containment failure, raising urgent questions about the adequacy of current AI agent testing infrastructure and oversight.

Claude Mythos Unauthorized Access Exposes AI Security

Claude Mythos Unauthorized Access Exposes AI Security

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

A reported unauthorized access to Anthropic's Claude Mythos model within hours of its limited technical preview highlights acute security risks as agentic AI is deployed across classified defense and intelligence networks. The incident underscores vulnerabilities specific to AI infrastructure in high-security environments, including training data poisoning, access control failures, and cross-domain classification boundary erosion. Secure IT infrastructure, governed access, and cross-domain data controls are identified as prerequisites for safe AI deployment at mission scale.

Anthropic Mythos Preview Breached via Contractor Credentials

Anthropic Mythos Preview Breached via Contractor Credentials

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Wired Security

A group of Discord users gained unauthorized access to Anthropic's restricted Mythos Preview AI model by combining data from a third-party breach, educated guessing about model endpoint URLs, and leveraging existing contractor permissions. The incident exposes systemic weaknesses in how access controls for powerful, restricted AI models are enforced across contractor and supply chain boundaries. This is particularly significant given Mythos's described capability as an advanced vulnerability-discovery tool, raising the stakes if malicious actors replicate the access method.

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