Introduction
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.
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Product walkthroughs, explainers, and deep-dives on RAG authorization, vector database security, and permission-aware retrieval for AI systems.
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Product Demo
Gateco Product Demo: Secure RAG, AI Agents & MCP with Identity-Aware Retrieval
A hands-on walkthrough of identity-aware retrieval end to end: user authentication, RBAC and ABAC policy enforcement, and the same AI query returning different answers based on each user's permissions across RAG apps, agents, copilots, and MCP servers.
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Overview
Gateco: Permission-Aware Security for AI & RAG Pipelines
An overview of Gateco as the permission-aware retrieval layer between your AI agents and enterprise data. Walks through late-binding authorization: blind recall, per-chunk policy evaluation against real identity, then secure resolution so only authorized content reaches the model.
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Explainer
Closing the RAG Auth Gap
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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Investor Briefing
Explainer to Investors
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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Deep Dive
The Critical Security Middleware for Vector Databases & RAG
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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Security Demo
Your AI Agent is Leaking Company Data. Here's the Proof.
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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Explainer
Why IAM Isn't Enough for AI Agents: Closing the RAG Authorization Gap
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.
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