AI Security Gateway
Control which data reaches AI models
The security gateway checks requests and responses, masks sensitive data and applies separate rules for every model and project.
Rules, routes and placement are agreed for the customer's workflow.
Send the contract to [EMAIL] and call [PHONE].
Rule customer_contacts masked 2 values before the request was sent.
One unchecked request is enough to break the rules
Direct model connections scatter data rules across applications. The gateway puts the check in one managed path.
Personal data
Contacts, identifiers and other agreed sensitive fields can appear in a prompt or response.
Commercial secrets
Internal terms, documents and project details need their own handling rules.
Unwanted content
Requests and responses are checked against the content policy agreed with the customer.
Rule bypass
Attempts to evade restrictions are handled before a request reaches the selected route.
The model receives only the version allowed by the rule
The example shows the full decision: what the gateway found, which action it applied and what was sent next.
Example, not a customer record
1. Original request
Prepare a reply for maria@example.com. Her phone is +7 999 123-45-67. Use the attached contract terms.
2. Rule decision
3. Request sent
Prepare a reply for [EMAIL]. Her phone is [PHONE]. Use the attached contract terms.
Allow, mask, block or send for review
The action depends on the data, project, model and route. The team controls the rule instead of rewriting every application.
Allow
Pass the request when it matches the approved policy and route.
Mask
Replace agreed sensitive values before the request leaves the selected boundary.
Block
Stop the request or response when a forbidden condition is found.
Review
Send an uncertain or sensitive case to a person with the reason attached.
Rules before the model and checks after it
Requests and responses pass through the same managed policy layer. Every decision keeps its rule, action and destination.
Policies
Separate rules by project and model
A sales assistant, support workflow and document tool can use different data and route policies.
Decision log
See what happened to each request
The log records what was found, which rule triggered, what action followed and where the request was sent.
Routing
Send data only through an allowed path
The security gateway passes an approved request to the model route selected for that project.
A policy layer tailored to the connected workflow
- Detection of sensitive information using an agreed set of rules
- Data masking and blocking
- Allow and deny rules
- Request and response checks
- Different rules for different models and projects
- Decision log
- Routing requests only through an approved path
- Deployment according to a scheme agreed with the customer
- Connection to the AI Model Gateway
Agree where each part of the request is processed
The delivery scheme follows the customer's systems, model providers and data requirements.
External provider
Check and transform the request before it reaches the approved external model.
Private cloud
Place the agreed checks and routes in the customer's private cloud environment.
Customer environment
Connect the gateway within the boundary agreed with the customer's security team.
Put the same control layer in front of every AI workflow
Sales and support
Check customer messages and model replies before they move between a channel, an assistant and internal systems.
Internal assistants
Set separate data and model rules for teams that work with internal knowledge.
Document workflows
Inspect the text sent for extraction, drafting or classification and record the applied action.
Model gateway
Check the request before routing and the response before it returns to the application. Explore the AI Model Gateway
Start with one route and the rules that matter
We connect a bounded workflow first, verify the decisions on agreed examples and then extend the same control to other applications.
Map data and routes
List the applications, models, sensitive fields and placement requirements for the first workflow.
Agree rules and examples
Define allow, mask, block and review conditions, then check them on representative requests and responses.
Connect and expand
Connect the first application, review the decision log and add projects after the rules are accepted.
Questions about the security gateway
What can the gateway check?
Does it work with external and local models?
What happens when a rule is triggered?
How do we start?
Discuss your AI data routes and rules
Tell us which applications use AI models, what data they handle and where requests may be processed. We will prepare an implementation outline for your workflow.