Enterprise AI gateway
One front doorfor AI across your company.
Your people are already using AI. We design and build the central gateway that lets them keep going, safely, with your security team able to see and control all of it.
- Engineering
- Support
- Finance
- AI agents
AI Gateway
identity · policy · logging · limits
security team observing
- Managed models
- Open weight models
- Your own fine tunes
Side doors, closed at the network edge
- NoPublic AI sites
- NoPersonal accounts
- NoUnsanctioned APIs
- Company gateway only
Most companies have no single way into AI.
Adoption ran ahead of governance. The result is sensitive data moving to tools nobody approved, and a security team working blind.
- 01
Side doors everywhere
Personal accounts, public AI sites, and unapproved API keys are already how a lot of work gets done.
- 02
No single view
Your security team cannot see who sends what to which model, or what has already left the building.
- 03
All or nothing access
Without central control, every team gets the same access or none, and neither suits how people work.
One governed route to every model.
An enterprise AI gateway sits between your people and the models they use. We build it to fit your environment and hand your team the controls.
One front door
Every team, app, and agent reaches approved models through a single company gateway.
Access by team
Decide who can use which model, with which data and which limits, and change it in one place.
Seen and enforced
Security observes every request and can act on it, with unsanctioned routes closed at the network edge.
Spend you can see
Usage and cost by team and by model, so AI budgets stop being a surprise.
We build gateways on proven open source, such as LiteLLM, then harden it for your environment and hand over the controls.
From first conversation to a live gateway.
- 01
Assess
Where AI is used today, which models you want to sanction, and the controls your security team needs.
- 02
Design
The gateway, the team access model, and how it fits your identity, network, and endpoint security.
- 03
Build
Stand it up in your cloud account or on your own hardware, connect your models, and prove it with your security team.
- 04
Hand over
Runbooks and controls for your team, or we stay on to operate it.
Questions about an AI gateway.
What is an enterprise AI gateway?
An enterprise AI gateway is a single, company-run entry point to AI models. Employees, apps, and agents reach approved models through it, so access, usage, and cost are governed in one place instead of across a dozen unmanaged tools.
What is shadow AI and why does it matter?
Shadow AI is staff using AI tools and personal accounts your security team has not approved or cannot see. It matters because prompts can carry customer data, source code, and contracts to places you do not control, with no record of what left.
Do we have to block every other AI tool?
No. The gateway gives people a sanctioned route that is good enough to use. Many companies then close the unsanctioned routes at the network edge using the security tooling they already run, so the gateway becomes the way in.
Can different teams get access to different models?
Yes. Access is set by team, so engineering, support, and finance can each use the models, data, and limits that suit their work, and your security team can see and change those rules centrally.
Will it replace our existing security tools?
No. We build the gateway to work alongside your identity, network, and endpoint security, and we hand your team the controls once it is live.
Who builds and runs it?
AzeniQ designs and builds it with your team, then either hands it over with runbooks or stays on to operate it. It can run in your cloud account or on your own hardware.
Give your company one safe way into AI.
Tell us how AI is used today. We'll map the fastest secure path to a gateway your security team can stand behind.