Enterprise AI control plane
Every AI request.One governed route.
Hormuz sits between the AI tools your teams already use and the model providers you already buy—enforcing policy, protecting credentials, and producing evidence for every governed request.
The control point
Your AI stack already has models. It needs a governed route.
Teams adopt AI one client and one provider at a time. Access fragments. Provider keys spread. Policy becomes a document instead of an enforcement point.
Hormuz turns the request path itself into the control plane—without asking employees to abandon the tools that make them productive.
Employee tools
Hormuz
Model providers
Built into the path
Control that travels with every request.
A single enforcement boundary for who can use AI, what they can access, what may leave, and how the organization proves it later.
Policy that only gets tighter
Layer organization, team, and person rules without letting a lower scope weaken the controls above it.
Provider keys stay put
Employees authenticate to Hormuz. Company provider credentials remain on the controlled server boundary.
Budgets before egress
Check model access, token ceilings, and spend allowances before a request reaches a provider.
DLP with a human path
Detect, redact, deny, or require a bounded approval—without turning routine evidence into a content archive.
Identity you can revoke
Map existing OIDC identities into short-lived Hormuz sessions with scoped administrative control.
Evidence without the payload
Attribute governed usage, cost, policy version, and security outcomes while keeping prompts and responses out of the ledger.
A deliberate boundary
Hormuz governs AI traffic. It does not pretend to be everything else.
The product owns the runtime gateway and its evidence. Document ingestion, knowledge quality, memory lifecycle, and accounting remain separate systems with separate responsibilities.
Narrow enough to trust.
Strong enough to enforce.
Honest by construction
Proof is not production readiness.
Hormuz has executable evidence for its gateway control path. High availability, deployment-specific custody and recovery, external review, and customer-environment certification remain explicit release gates—not marketing footnotes.
Inspect the public evidenceA bounded first step
Find the gaps in your AI control path.
Map one real workflow across identity, provider credentials, policy, egress, budgets, and evidence. Leave with a concrete control plan—whether or not Hormuz is the right next step.