Sensitive data
Keep personal data from reaching an external AI provider.
The problem
Prompts can contain names, documents or customer data that should not leave your organization.
How AgentGate solves it
The gateway applies security steps before and after the model, such as masking personal data. Content is processed in your network and only metadata reaches the platform.
An example
Question
“Summarize this customer's case.”
Answer
The name and the ID number are masked before reaching the model provider.
Controls that apply
- Personal data masking
- Content processed in your network
- Optional content analysis
Other use cases
Query the database with AI
Ask your data questions in plain language, without giving free access to the database.
Operations with approval
Let the agent make real changes, with confirmation and without repeating them.
Internal systems, no open ports
Use AI with systems behind your firewall without exposing them.
Customer support
Assistants that look up orders, statuses and cases with real data.
Teams with several assistants
The same tools for Claude, ChatGPT and OpenCode, with the same permissions.
Control model spend
Know who spends how much on AI and set limits.
APIs as tools
Turn an API you already have into tools for agents.
By industry
Agribusiness and farming
Ask an assistant about harvests, fields and stock, using the data where it already lives on the farm and in the plant.
Financial sector
Assistants that look up portfolio, transactions and compliance data without customer data reaching an outside provider.
Oil and gas
Well, equipment and maintenance status within reach of an assistant, without exposing plant systems.
Mining
Production, fleet and safety data of the operation, available in plain language with permissions by site and role.