Anthropic flagged as U.S. national security supply chain risk, company says

Anthropic flagged as U.S. national security supply chain risk, company says

The U.S. Department of Defense has designated Anthropic, a leading artificial intelligence (AI) developer, as a “supply-chain risk to national security,” according to Secretary of Defense Pete Hegseth. This decision follows a protracted dispute over the Pentagon's use of Anthropic's Claude model, which is extensively deployed across military and intelligence operations for tasks such as intelligence analysis and operational planning. The designation effectively bars defense contractors from engaging in “any commercial activity” with Anthropic, raising concerns about potential disruptions to AI-driven national security workflows.

Anthropic has maintained that its safeguards against specific uses—mass domestic surveillance and fully autonomous weapons—are aligned with democratic values and technical safety, despite Pentagon demands for unrestricted access. The company emphasized its proactive collaboration with U.S. agencies, including deploying Claude on classified networks and supporting national laboratories, while forgoing revenue to restrict access by entities linked to adversarial nations.

Industry groups, including the Information Technology Industry Council (ITIC), have expressed concerns that the designation creates regulatory uncertainty and could limit the government's access to cutting-edge AI tools. Legally, the move appears to rely on 10 U.S.C. § 3252, which authorizes the Pentagon to exclude entities from contracts involving sensitive systems. However, experts note that the law does not grant authority to prohibit commercial activity unrelated to national security systems.

The dispute highlights tensions between national security priorities and corporate governance of emerging technologies. Contractors using Anthropic's tools must now navigate potential compliance risks, including inventory reviews and contingency planning, as outlined by legal analysts. The situation remains fluid, with implications for AI procurement policies and the broader tech sector.