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The U.S. Department of Homeland Security, pursuant to the 2018 Federal Acquisition Supply Chain Security Act, requires U.S. civilian agencies to remove DeepSeek and DeepSeek-related products, as well as third-party products and services developed using DeepSeek, from information technology systems. DHS states that DeepSeek's hosted models store data on servers in China, with every prompt and response passing through that service, and that the data may be combined with public information to form actionable intelligence targeting U.S. personnel and government programs; for model weights running on U.S. servers, the ban relies on warnings that the models may contain malware or other vulnerabilities. Exceptions require an application submitted 60 days in advance with sufficient justification, and systems in national security systems and secure isolated information systems are outside the scope of the order; the only Chinese model named in the order is DeepSeek, while Kimi and Qwen face similar distillation allegations.
The U.S. Department of Homeland Security, pursuant to the 2018 Federal Acquisition Supply Chain Security Act, requires U.S. civilian agencies to remove DeepSeek and DeepSeek-related products, as well as third-party products and services developed using DeepSeek, from information technology systems. DHS states that DeepSeek's hosted models store data on servers in China, with every prompt and response passing through that service, and that the data may be combined with public information to form
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The US Department of Homeland Security has prohibited civilian government agencies from using DeepSeek and technology derived from its models. The order was announced on October 19 but had already taken effect at the end of July. The ban applies to civilian agencies such as the Treasury Department, the State Department, and the Department of Justice, while agencies under the Department of Defense are not covered. BBC has contacted the Department of Homeland Security, DeepSeek, and the Chinese Embassy in the United States to request comment.
The US Department of Homeland Security has prohibited civilian government agencies from using DeepSeek and technology derived from its models. The order was announced on October 19 but had already taken effect at the end of July. The ban applies to civilian agencies such as the Treasury Department, the State Department, and the Department of Justice, while agencies under the Department of Defense are not covered. BBC has contacted the Department of Homeland Security, DeepSeek, and the Chinese Em
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The US Department of Homeland Security publicly issued a ban on October 19, requiring US federal civilian executive agencies to stop procuring DeepSeek-related products and services and to remove DeepSeek-related products from existing information technology systems, including third-party products and services developed using DeepSeek solutions. According to the US Cybersecurity and Infrastructure Security Agency list, federal civilian executive agencies include 102 agencies such as the Department of the Treasury, the Department of Justice, the Department of State, and the Department of Agriculture. DeepSeek had previously been banned by the US Department of Commerce, congressional offices, the Pentagon, NASA, the US Navy and other departments; this time the ban has been expanded to all US federal civilian agencies.
The US Department of Homeland Security publicly issued a ban on October 19, requiring US federal civilian executive agencies to stop procuring DeepSeek-related products and services and to remove DeepSeek-related products from existing information technology systems, including third-party products and services developed using DeepSeek solutions. According to the US Cybersecurity and Infrastructure Security Agency list, federal civilian executive agencies include 102 agencies such as the Departme
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The US Department of Homeland Security has ordered the removal of DeepSeek-related technology from most government systems, prohibiting civilian government agencies from using DeepSeek and any technology built with its models; the ban takes effect at the end of July, and agencies under the Department of Defense are not included. The report notes that DeepSeek said last year that training the initial version of its model cost about $6 million, while OpenAI's GPT-4-related costs were about $100 million, and that US companies such as Snowflake, Vercel, and OpenRouter have also integrated DeepSeek into their products.
The US Department of Homeland Security has ordered the removal of DeepSeek-related technology from most government systems, prohibiting civilian government agencies from using DeepSeek and any technology built with its models; the ban takes effect at the end of July, and agencies under the Department of Defense are not included. The report notes that DeepSeek said last year that training the initial version of its model cost about $6 million, while OpenAI's GPT-4-related costs were about $100 mi
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DeepSeek's new financing round has closed, with fundraising guaranteed at 80 billion yuan and ultimately expected to approach 100 billion yuan, while the pre-money valuation remains at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. In the first seven months of 2026, the company's revenue was 475 million yuan, with a net loss of 715 million yuan, and the API business gross margin was 82.9%. The funds are mainly directed toward a GW-level intelligent computing center in Ulanqab, Inner Mongolia, where the company plans to deploy 160,000 Huawei Ascend 950DT chips; the company plans to submit a prospectus by the end of 2026 and list on the STAR Market in 2027.
DeepSeek's new financing round has closed, with fundraising guaranteed at 80 billion yuan and ultimately expected to approach 100 billion yuan, while the pre-money valuation remains at 500 billion yuan; founder Liang Wenfeng personally contributed about 20 billion yuan. In the first seven months of 2026, the company's revenue was 475 million yuan, with a net loss of 715 million yuan, and the API business gross margin was 82.9%. The funds are mainly directed toward a GW-level intelligent computin
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Arena announced that DeepSeek-V4.1-Flash-1017 (Max) surpassed open-source models such as Kimi K3 (Max) with a score of 1670, becoming the highest-ranked open-source model on the Code Arena: WebDev leaderboard, and also surpassed closed-source models such as Claude Opus 5 and Grok 4.7, trailing GPT-6 Sol by only 12 points. The model was launched on October 17, priced at 2 yuan per million tokens for input (cache miss) and 8 yuan for output during peak hours, and 1 yuan for input and 4 yuan for output during idle hours, with a comprehensive cost of about 1/10 that of Kimi K3. Zhidongxi used it to create two cases, an ancient Kaifeng 3D scene and a web-based racing game, both completed in a single attempt, at a total cost of about 6 yuan.
Arena announced that DeepSeek-V4.1-Flash-1017 (Max) surpassed open-source models such as Kimi K3 (Max) with a score of 1670, becoming the highest-ranked open-source model on the Code Arena: WebDev leaderboard, and also surpassed closed-source models such as Claude Opus 5 and Grok 4.7, trailing GPT-6 Sol by only 12 points. The model was launched on October 17, priced at 2 yuan per million tokens for input (cache miss) and 8 yuan for output during peak hours, and 1 yuan for input and 4 yuan for ou
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