Part 2 — For the Developer

Ch. 10 — Risk Classification and System Boundaries

How to define and enforce the boundaries of what your agent system is — and what it is not allowed to become.

Risk classification is done at the system level, not the model level. And agentic systems can drift out of their classification at runtime if boundaries are not enforced in code.

A static model is relatively easy to classify. It has fixed inputs, fixed outputs, and fixed capabilities. An agent is none of those things.

An agent calls tools, invokes sub-agents, and can acquire new capabilities as its configuration changes. A document review agent classified as limited risk today can cross into high-risk territory tomorrow — not because anyone decided to change its classification, but because someone added a tool that lets it initiate contract amendments. The classification doesn't update automatically. Your obligations do.

Platform Agentic

Compliance, governance, and accountability for teams building agentic AI systems.

Access the book — sign in with Google·LinkedIn