Choose how AI access should be managed.

Decide what should pass through the gateway

A gateway is useful only where it fits the architecture and can govern the relevant connections. We help map traffic paths, identify bypass routes, and compare capabilities already available in your environment with dedicated gateway options.

• Centralized model access, authentication, and authorization
• Approved-model enforcement and vendor abstraction
• Policy enforcement and sensitive-data controls
• Prompt and response logging with privacy, retention, and redaction requirements

Compare controls and operating tradeoffs

Requirements should cover operation as well as feature lists. We help evaluate integration effort, supported protocols, deployment model, availability, latency, ownership, and provider dependencies.

• Cost and token metering, usage analytics, and allocation
• Model routing, validated fallback, and rate limiting
• Security and governance integration
• Pilot tests, acceptance criteria, and implementation responsibilities

Know the boundary of the control

A gateway does not automatically discover personal AI accounts or govern traffic that bypasses it. It does not replace application authorization, data controls, or security monitoring. Model changes and fallbacks still need quality, privacy, and reliability testing.

Choose the approach before choosing the product

GlobalLinc helps evaluate, select, and plan the architecture for an appropriate gateway approach, then identify providers to implement it. The right decision may be to extend an existing platform, add a specialist service, or address prerequisites first.