Zero Data Retention: How AI Truly Protects Your Corporate Data
How this contractual guarantee safeguards your AI data and why not all solutions are created equal. How Elosia implements ZDR, explained.
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9 articles on this topic.
How this contractual guarantee safeguards your AI data and why not all solutions are created equal. How Elosia implements ZDR, explained.
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27 million computers infected by info-stealers: They’re now targeting your browser data and AI conversations. What you stand to lose.
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Elosia doesn’t promise zero risk but the smallest possible attack surface. Here’s what Local First architecture protects, and what it doesn’t.
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With WebGPU, the browser becomes a compute engine. How Elosia leverages this technology for private, fast, and serverless AI.
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Understanding ZDR, its concrete importance, and why it’s not always the answer. A decision matrix to assess whether you need it.
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90% of companies expose their data to public AI. A panorama of cloud solutions, aggregators, local-first approaches, and Elosia’s hybrid model.
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85% of official AI projects fail, yet 90% of employees already use public LLMs (MIT State of AI in Business). How do we resolve this paradox?
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Your employees have already figured out how AI can help them. Shadow AI is the best proof of concept your company could hope for.
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RAG grounds AI in your internal data. How it works, why your embedding model is strategic, and what it means for confidentiality.
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