Skip to content

Architecture

GenAI gateway security patterns for enterprise teams

Where gateways help with model traffic inspection, policy enforcement, and central governance.

Back to resources
Architecture8 min readSecurity Engineering, CIO

Central Control for Distributed AI

A GenAI gateway creates a policy point for applications using different models and providers. It helps teams inspect prompts, files, responses, and destinations without rewriting every application.

What Gateways Should Decide

Useful gateways classify data, detect prompt attacks, enforce approved model routes, redact sensitive content, and emit SIEM-ready evidence. They should also support exceptions for specialized workflows.

Gateway and Runtime Together

Gateway controls are strongest when combined with runtime context from the application. Agents may need action-level policy and tool monitoring that a model gateway alone cannot see.

Rollout Strategy

Start with high-risk apps, regulated data flows, and new GenAI product launches. Use reporting to expand coverage without forcing every team into the same deployment model immediately.

Request a Demo

Secure the AI your enterprise runs on.

See how Kavalan helps security and AI teams govern workforce AI, protect agentic systems, and continuously validate GenAI risk.