Setting Up Gateco with Your Identity Provider
A step-by-step guide to connecting your identity provider to Gateco for policy-enforced AI retrievals.
Read full article →Insights on AI retrieval security, RAG authorization, and data governance.
A step-by-step guide to connecting your identity provider to Gateco for policy-enforced AI retrievals.
Read full article →Gateco now supports four distinct retrieval modes. Here's when to reach for each one — and why hybrid might be your new default.
Read more →Metadata filters are the most common approach to RAG access control. They're also fundamentally insufficient. Here's why app-level filtering can't replace a dedicated permission layer.
Read more →Four approaches to RAG authorization, compared: no auth, metadata filters, app-layer RBAC, and a dedicated permission layer. Pros, cons, and when each makes sense.
Read more →DIY RAG authorization requires a policy engine, metadata resolution, audit logging, connector adapters, and identity sync. Here's what it actually takes to build it yourself.
Read more →Vector databases retrieve based on embedding similarity. They don't know who's asking. They don't check permissions. They just return the closest matches. This is the AI security gap — and it's wider than most teams realize.
Read more →Today we're launching Gateco — the security middleware between AI agents and organizational knowledge. Deny-by-default retrieval, 9 vector DB connectors, and full audit trails. Here's why we built it.
Read more →Gateco assigns each connector a readiness level from L0 to L4 based on its security capability — not a percentage, but a progression through increasingly granular enforcement. Here's what each level means and how to reach it.
Read more →Gateco resolves policy-relevant metadata through a configurable 3-step hierarchy. Choose sidecar for simplicity, inline for existing payload metadata, or SQL views for Postgres-based systems. Here's when to use each.
Read more →A step-by-step walkthrough: install the Python SDK, connect a vector database, create a policy, and execute your first permission-aware retrieval. With actual code that runs.
Read more →The Access Simulator lets you dry-run policy evaluation to see exactly what a principal would be allowed or denied before activating policies in production. Here's how to use it.
Read more →Regulations are catching up to AI. When auditors ask "who accessed what data through your AI system?", you need an answer. Gateco's audit trail covers 25 event types across every operation.
Read more →Financial services firms face unique RAG authorization challenges: information barriers, SOX compliance, and classification-based access to market-sensitive data. Here's how Gateco addresses them.
Read more →Healthcare organizations using RAG systems must protect PHI at every retrieval. Gateco's ABAC policies, classification-based access, and audit trails support HIPAA's minimum necessary standard.
Read more →SaaS platforms embedding LLM features must prevent cross-tenant data leakage in shared RAG infrastructure. Here's how to enforce tenant isolation at the retrieval layer.
Read more →Get started with Gateco in minutes. Free tier includes 100 secured retrievals per month.