SECAI Core · phase 6 of 15
Model control
The security controls applied to an AI model to manage its behavior, security, and compliance
The Explain card
- Plain English
- Model control is the set of security controls applied to an AI model to manage its behaviour, security and compliance: what it can do, who can change it, and how it is monitored.
- Example
- A deployed assistant has output filters, rate limits, an approved system prompt under version control, change approval for any fine-tuning, and logging of every request. Together these form the model's control layer.
- Why it matters
- A model without controls is a capability with no governance. Defenders use model controls to enforce policy at runtime, detect misuse, and prove to auditors that the system behaves as documented.
- Hook
- Model control is the harness on the model; the model is the engine.
Where it sits in the deck
Phase 6: Model Quality, Ethics, and Responsible AI Principles
Before deploying a model, understand the quality and ethical dimensions — bias, fairness, explainability, and the human oversight needed to govern outputs responsibly.
