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Guides for executives, IT and data owners. Understand visible risks, then define your Private AI scope together.
Public AI vs Private AI
Private AI is an approach where an organization defines data boundaries, users, models and deployment. Privacy results from architecture and operations, not the product name alone.
Learn moreCloud AI vs Local AI
A local LLM runs inference on a chosen computer or server. Locating the model near data helps define processing paths, but OCR, embedding and log services still need separate review.
Learn moreRAG vs Traditional Search
RAG retrieves relevant information and supplies it as context for model-generated answers. Enterprise RAG adds access, version and audit requirements so retrieval uses knowledge the asker is allowed to access.
Learn moreChatbot vs AI Agent
An AI agent uses a model to select steps and tools toward a goal. Action permissions matter beyond document access: a model proposing an action does not authorize the user to perform it.
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