
Gateco Introduction
A high-level walkthrough of what Gateco is, the problem it solves, and how late-binding policy enforcement fits into modern AI and RAG architectures.
Watch on YouTubeProduct walkthroughs, explainers, and deep-dives on RAG authorization, vector database security, and permission-aware retrieval for AI systems.
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A high-level walkthrough of what Gateco is, the problem it solves, and how late-binding policy enforcement fits into modern AI and RAG architectures.
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Deep dive into the authorization gap that exists in most RAG pipelines today — and how Gateco's deny-by-default retrieval layer closes it without changing your vector database.
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A concise overview of the Gateco opportunity: the market gap in AI data governance, why retrieval authorization is the next critical infrastructure layer, and the Gateco approach.
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Technical walkthrough of why vector databases need a dedicated security middleware layer, and how Gateco enforces identity-aware, policy-driven access control at retrieval time.
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A live demonstration of how an AI agent with a standard IAM role can be made to return data it should never have access to — and exactly what it takes to stop it.
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IAM authenticates the agent. Gateco authorizes the data. This explainer walks through the authorization gap that every AI agent exposes — and how retrieval-time policy enforcement closes it.
Watch on YouTubeBook a live demo with the Gateco team or start with the free tier today.