Videos

Product walkthroughs, explainers, and deep-dives on RAG authorization, vector database security, and permission-aware retrieval for AI systems.

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Gateco Introduction — Gateco video thumbnail
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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Closing the RAG Auth Gap — Gateco video thumbnail
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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Explainer to Investors — Gateco video thumbnail
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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The Critical Security Middleware for Vector Databases & RAG — Gateco video thumbnail
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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Your AI Agent is Leaking Company Data — Here's the Proof — Gateco video thumbnail
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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Why IAM Isn't Enough for AI Agents: Closing the RAG Authorization Gap — Gateco video thumbnail
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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