Secure AI access for enterprises

The problem

Employees already paste customer records, configuration files and project names into AI tools, because it saves them hours. Banning the tools does not stop it; it moves the usage to personal accounts the company cannot see.

The goal is to keep the productivity and remove the risk: the model does the work without ever seeing who it is about.

What it does

• Personal data (names, Turkish ID numbers, IBANs, phone numbers, addresses) is masked before the request reaches the model, and the real values are put back in the answer

• Passwords, API keys and connection strings pasted into a chat or a coding assistant are caught the same way

• Your own confidential terms (project code names, acquisition targets, unannounced products) are protected from a list you control

• Special-category data such as health, religion or union membership is flagged, kept on a model in the country, or stopped, as your policy says

• Attempts to trick the model into ignoring its instructions are blocked, and each department stays inside its budget

• Every request leaves an audit record for your security monitoring, without the question or the answer in it

How it fits your setup

It runs in your infrastructure or cloud tenant and works with Azure OpenAI, Google Gemini, AWS Bedrock, other OpenAI-compatible services or a model in your own data centre. Employees connect the chat screen or coding assistant they already use.

A one-page monthly report shows management what was protected and what it cost, by department. If you run Fortinet, it can work alongside FortiGate, FortiSASE and FortiAIGate; none of them is required.

Built for Turkish

Most masking tools are trained on English. Turkish suffixes, ID numbers, tax numbers, plates and addresses need their own handling, and an English model also raises false alarms on ordinary Turkish sentences. We built and measured the masking on Turkish text first.

How we start

Two ways, both small. Share a month of firewall or web proxy logs and we show which AI tools your people use today, without installing anything. Or start a pilot with one department in your own environment and see the first monthly report from your own traffic.

Common questions

Does it change how employees use AI?

No. They keep using the same chat screen or coding assistant. Masking happens on the way to the model, and the answer comes back with the real values in place.

Where does it run?

In your own infrastructure or your cloud tenant. Requests go only to the models you configure.

Which AI models does it work with?

Azure OpenAI, Google Gemini, AWS Bedrock, other OpenAI-compatible services, or a model running in your own data centre. Several can be used at the same time.

Can we see AI usage before installing anything?

Yes. Share a month of firewall or web proxy logs and we show which AI tools are in use, by department, without connecting to your systems.

Use AI at work without sending customer data to the model