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AI in a Closed Loop: How to Implement Technologies Without Data Leaks

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AI in a Closed Loop: How to Implement Technologies Without Data Leaks

The article addresses a common challenge in deploying AI assistants within corporate environments, where businesses fear sensitive data leaks to external cloud services. These concerns often lead to either abandoning automation entirely or employees using public AI tools unofficially, creating significant security risks. The author emphasizes that modern technology allows for local deployment of language models, even on standard laptops without internet access. The piece explores architectural approaches to building a 'closed loop' system that enables full AI functionality while maintaining complete control over data within the company. This article is aimed at technical specialists and managers looking for ways to securely integrate generative AI into business processes without transmitting data to third-party providers.

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