SECAI Core · phase 7 of 15
Gateway control
The controls between the user interface and the AI models used to enforce usage rules, prevent abuse, and ensure compliance.
The Explain card
- Plain English
- Gateway controls sit between the user-facing application and the AI models behind it. They enforce usage rules, block abuse and collect the evidence needed to prove compliance.
- Example
- A company routes every LLM call through an AI gateway. It authenticates the caller, applies per-team rate limits, strips card numbers from prompts, logs each request and response, and refuses calls to models not on the approved list.
- Why it matters
- Without a chokepoint, every app talks to every model its own way and nobody can enforce anything. The gateway is where policy stops being a document and becomes a control.
- Hook
- One front door, one bouncer, one guest book.
Where it sits in the deck
Phase 7: AI-Specific Runtime Controls: Guardrails, Limits, and Enforcement
Responsible AI principles must be enforced mechanically — learn the runtime controls that constrain model inputs, outputs, and resource consumption.
