Traditional governance collapses when systems act autonomously. This 3-hour, hands-on course teaches you how to engineer executable governance that runs at runtime alongside agents. Learn policy-as-code, embedded enforcement, evidence-by-design telemetry, and federated control to build measurable, auditable governance that scales with autonomy.
AEI members receive 20% off with code MEM_C6_20.
This module dismantles the illusion that document-based governance can control autonomous systems. You'll discover why policies disconnected from runtime execution are merely commentary, not control, and how the shift to milliseconds-scale decisions demands a fundamental architectural rethink.
You will learn the Governance-in-Motion Loop—the operational heartbeat of runtime control—and assess your current state against the five foundational pillars and maturity ladder. This foundation is critical for diagnosing why your current governance fails and defining the target state for engineering success.
Here, you move from theory to blueprints. We detail the Governance Fabric, a five-layer system that transforms intent into executable authority, integrating human oversight with machine execution. You'll design the integration points between governance, the Agent Runtime Environment, and operational trust systems.
We then translate architecture into actionable patterns. You'll master core designs like the Governance Gateway for edge control, the Embedded Approval Loop for in-line risk management, and Portable Policy Bundles for cross-boundary compliance. These patterns provide the repeatable engineering templates for your implementation.
This module is where you write the code. You'll engineer policies as executable logic using Rego and Cedar, embed enforcement hooks directly into the runtime, and architect evidence-by-design telemetry that streams to a Trust Ledger. This is hands-on, production-grade policy engineering.
You'll then automate the entire lifecycle. Building CI/CD pipelines for policy validation and signed deployment, you'll implement automated drift detection and rollback. Finally, you'll solve the federation challenge, engineering cryptographically signed policy bundles that sync across organizational boundaries using A2A/AP protocols.
Operational excellence requires measurement. You will define and instrument the key metrics of governance health—coverage, latency, drift, and proof freshness—culminating in the composite ROC (Reliability of Control) Score. This transforms governance from an audit function to a measurable runtime service.
Finally, you'll internalize lessons from the field. Through analyzed anti-patterns and real-world case studies, you'll build operational playbooks for incident response and continuous verification. You'll leave not just with a system, but with the disciplined practice to ensure it remains trustworthy as it scales.