NSA Reportedly Uses Anthropic’s Mythos AI Despite ‘Supply Chain Risk’ Designation

The National Security Agency (NSA) is reportedly using Anthropic’s new most powerful AI model, Mythos Preview, despite the company currently being designated a “supply chain risk” by the NSA’s parent organization, the Department of Defense (DoD). The leaked report indicates that military use of Anthropic’s model is actually widening due to the potential capabilities of Mythos. The NSA is using the AI model to scan its own environments for potential security vulnerabilities. First reported by Axios , sources claim that the NSA was among 40 organizations granted restricted access to Mythos. This is despite Anthropic gearing up to fight the DoD in court over the supply chain designation , and the DoD claiming that use of Anthropic’s tools threatens national security. It would not be the first report of the DoD blatantly flaunting its own supply-chain designation. In preparation for the war in Iran, the department reportedly used Anthropic’s AI model to process large volumes of data, summarise documents, and organize logistical data. The Trump administration may have changed its stance, at least internally, on Anthropic after an early briefing of Mythos’ capabilities . At a time when AI model sophistication appears to be accelerating across tasks such as software vulnerability detection, software engineering, and data analysis, having access to the most advanced models is critical. The Mythos model and its potential impact Around 40 organizations gained access to Mythos, forming the Project Glasswing partnership to use these AI models to identify and fix vulnerabilities before they can be exploited. Alongside several governments, major infrastructure companies such as Amazon, Microsoft, Apple, and Nvidia were granted access, along with a select group of financial institutions. Early testing and reports suggest that the Mythos model is a step up from previous systems in terms of vulnerability detection and exploit identification, posing a high risk to legacy systems use…