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NSA Tests Anthropic’s Mythos Model For Vulnerabilities Amid Policy Dispute

The National Security Agency is reportedly using Anthropic’s Mythos Preview model to scan network environments for vulnerabilities, according to Axios. The development follows a Department of Defense assessment that previously classified Anthropic as a potential supply-chain risk after the company limited access to certain model capabilities.

NSA Integration And Cybersecurity Applications

Anthropic introduced Mythos as a model tailored for cybersecurity applications, with restricted availability due to concerns over misuse in offensive cyber operations. Access has been granted to a limited group of around 40 organizations, with only a subset publicly identified. The controlled rollout reflects an effort to balance capability with risk management.

Balancing National Security And Operational Risks

Sources indicate that the NSA is among the organizations using Mythos, primarily to detect vulnerabilities across network systems. The U.K.’s AI Security Institute has also confirmed access, pointing to broader institutional interest in the model’s capabilities.

Disputes With The Pentagon

Use of Anthropic’s tools by U.S. agencies comes amid ongoing tensions with the Pentagon. Legal arguments have raised concerns that such technologies could pose national security risks. The dispute intensified after Anthropic declined to provide full access to its Claude model for applications related to mass surveillance and autonomous weapons.

Thawing Relations With Government Leadership

Recent engagement suggests a shift in tone between Anthropic and U.S. officials. Anthropic CEO Dario Amodei recently met with White House Chief of Staff Susie Wiles and Treasury Secretary Scott Bessent, with officials describing the discussions as productive. Requests for comment have been sent to the NSA, while Anthropic has not issued additional statements.

Cyprus Puts AI At The Heart Of Its Shipping Strategy

The Cyprus Shipping Chamber (CSC) has backed the proposed National Artificial Intelligence (AI) Strategy 2032 following a meeting with Chief Scientist for Research, Innovation and Technology Demetris Skourides.

Skourides presented the strategy to members of the chamber’s Digitalisation Committee, which focuses on technology and communications affecting shipping companies and vessel operations. The committee also follows the International Maritime Organisation’s work on navigation, communications and search and rescue.

The CSC said it looked forward to continued cooperation with Skourides and the Deputy Ministry of Research, Innovation and Digital Policy as the strategy moves towards implementation.

AI Could Cut Shipping Costs

Public consultation on the strategy runs until August 31. According to the government’s consultation notice, Cyprus aims to become a trusted AI centre in the eastern Mediterranean by 2032 and a European base for AI services connecting the EU with neighbouring regions.

For the shipping industry, the draft strategy targets fuel savings of 10% to 20% and maintenance cost reductions of 30% to 40%. Proposed applications include AI-assisted route planning, predictive maintenance and digital models of vessels.

Routing systems could combine weather, currents, fuel prices and vessel performance, while digital models would use sensor data to identify potential maintenance problems before equipment fails. AI tools could also help crews and operators track regulatory changes, coordinate with ports and identify safety risks.

Maritime Data And Autonomous Technology

The strategy also proposes a shared maritime data space where companies could contribute anonymised datasets for AI training while protecting commercially sensitive information. Other measures include supervised testing of autonomous surface vessels, drone inspections and the creation of a maritime centre of excellence to support testing and adoption.

Human oversight would remain central. Qualified professionals would retain final authority over decisions, while independent assessments and the withdrawal of systems that fail safety, compliance or performance requirements would be required. The projected savings are targets rather than results already achieved.

Broader AI Strategy

The government’s wider AI framework includes eight strategic objectives covering productivity, public services, skills, data infrastructure and accountability.

Skourides has previously said that “AI must serve people” and that people must remain in control. The strategy therefore also proposes training, reskilling and practical support to help employees, businesses and public servants use and assess AI effectively.

Businesses, professional bodies, researchers and citizens can submit feedback through the government’s e-consultation platform until August 31, with submissions to be considered for inclusion in the final strategy.

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