About
The authorization enforcement layer AI is missing
Gateco sits between AI agents and organizational knowledge, enforcing the access control policies that govern what each principal is allowed to retrieve.
Why this exists
Gateco exists because the way organizations deploy AI is creating a new class of access control problem that existing security tools were not built to solve.
Vector databases return semantically relevant content without any understanding of who is asking or what they are permitted to see. LLMs synthesize answers from retrieved chunks without auditing which permissions governed each piece. The result is a gap between who organizations think can access their data and what AI agents actually retrieve on their behalf.
Gateco is built to close that gap. We are building the authorization enforcement layer that sits between AI agents and organizational knowledge, enforcing the same access control policies that govern human access, at the exact boundary where retrieval ends and answer generation begins.
What we believe
Authorization must happen at the retrieval boundary.
That is the only place in an AI pipeline where access control is both meaningful and enforceable. Enforcing at the prompt level or the application layer is too late: by that point, content has already crossed the retrieval boundary.
Deny-by-default is the right security posture.
If no policy explicitly allows retrieval, it is denied. The secure default requires no configuration. Teams opt into access; they do not opt out of exposure.
Auditability is not optional.
Every retrieval decision must be logged with full context: which principal asked, which resource was requested, which policy decided, and what the outcome was. "The AI retrieved it" is not an acceptable audit trail.
Late-binding authorization is better than ingestion-time filtering.
Policy changes should take effect immediately across all future retrievals, with no re-embedding and no re-indexing. A revocation that requires a data migration is a revocation that may not happen in time.
Where we are
Gateco is an early-stage company. We are working with a small cohort of design partner teams in financial services, healthcare, and enterprise SaaS who are deploying AI copilots and agent workflows against sensitive internal data.
We are building deliberately, adding breadth only after depth is proven. The current product ships identity-based access control, ABAC and REBAC policy evaluation, connector integrations for 12 vector databases, a full audit trail, and a Python and TypeScript SDK.
We are not announcing a team publicly yet. If you want to work with us or on us: pilots@gateco.ai
Get in touch
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Implementation and pilots
pilots@gateco.aiScoping a deployment, pricing questions, or joining the design partner cohort.
Press and analyst inquiries
hello@gateco.aiPress inquiries, analyst briefings, and partnership discussions.
Security disclosures
security@gateco.aiVulnerability disclosures, pen test coordination, and security artifact requests.