US NAVY prohibits the use of Deepseek “In any capacity” due to “potential security and ethical concerns”

The US Navy has banned the use of New Chatbot Deepseek
Deepseek is a Chinese owned AI
The chatbot has emerged as a chatgpt -competitor

New AI Chatbot Deepseek has recently caused a voting due to its disruption of the market after its open source large language model seemed to be seriously undermining existing models.

But Deepseek is a Chinese company owned and operated by a hedge fund in Hangzhou, which has spooked US tech companies and government institutions, with the US Navy instructing all members to avoid using the technology in ‘any capacity’, due to of “Potential security and ethical concerns associated with the origin and use of the model.”

The move is reportedly part of the Department of the Navy’s Chief Information Officer’s Generative AI policy, and E -Mail recipients were asked to “refrain from downloading, installing or using the Deepseek model.”

AIS privacy problems

The privacy policy of Deepseek would probably interfere with the confidentiality conscious among us, given that Chatbot apparently collects users’ personal information stored on servers in China.

However, it is worth noting that this is not specific to Deepseek, and Chatgpt is also a privacy. Most of us are probably used to the claims from tech companies that harvest our data, but that doesn’t mean we should forget that it happens – especially with big and well -known industry names.

But the privacy policy is not the only concern as Deepseek suffered from its success in the form of ‘great malicious attacks against the platform. The incident, probably a distributed attack on the denial of service (DDOS), meant that the platform was forced to temporarily pause new registrations.

“Open-Source AI models like Deepseek, while offering accessibility and innovation, are increasingly vulnerable to supply chain attacks triggered during major cyberattacks,” said Aditya Sood, VP for security technology and AI strategy at Aryaka.

“These attacks where opponents are taking advantage of the dependence on third -party dependents, pre -formed models or public storage sites can have serious consequences. Opponents can manipulate pre -formed models by embedding malicious code, back doors or poisoned data that can compromise on downstream applications. “

Via CNBC

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