Gateco - Permission-Aware Retrieval for AI
Gateco AI · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Permission-aware retrieval for enterprise AI
AI copilots and RAG pipelines have unlocked your organization's knowledge, but vector databases don't understand who is asking. A single semantic search can return documents an employee was never cleared to see. Gateco closes that gap.
Show the rest of the publisher’s description (14 more lines)
Gateco is the security middleware between your AI agents and your organizational knowledge. It enforces deny-by-default access policies on every retrieval, using the identity you already trust, so an internal copilot surfaces only what each user is authorized to see.
Works with your stack
- 12 vector databases, no re-ingestion: Azure AI Search, pgvector, Pinecone, Qdrant, Weaviate, Milvus, Chroma, OpenSearch, Supabase, Neon, and Google Vertex AI (Vector Search and Search).
- Identity from your IdP: Microsoft Entra ID, Okta, AWS IAM Identity Center, and Google Cloud Identity, with SCIM provisioning.
- Audit trail: every retrieval decision is logged with its full policy evaluation, so you can prove who accessed what through AI.
How it works
- Deny-by-default retrieval: every query is checked against policy before results are returned. No match, no data.
- RBAC, ABAC, and ReBAC policies: gate access by role, attribute, or relationship, and combine them in one policy set.
- Data classification: label sensitive content and cap what an assistant can return at a classification ceiling.
- Grounded Answers: cited answers synthesized only from policy-allowed content, never from denied documents.
- SDKs, CLI, and MCP server: add permission-aware retrieval in a few lines of Python or TypeScript.
Who it is for
Engineering and security teams building internal copilots, customer-facing assistants, and agentic workflows on regulated or sensitive data across financial services, healthcare, legal, and beyond.
Start free, then scale from Team to Enterprise with SSO, SIEM streaming, and dedicated support. Contact us to see Gateco applied to your Azure AI stack.
Preview
5 imagesAgent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.






