Learning path

Enterprise AI Security with ARMOR

Skill Level
Fundamentals
Duration 3 hours
Updated Sep 29, 2026

About this learning path

Most enterprises are adopting AI faster than they can secure it. This ten-module path works through ARMOR, WWT's AI Readiness Model for Operational Resilience, mapping seven security domains onto the AI lifecycle. Each domain is explained by the person accountable for it, then applied to a real deployment at scale.

Your instructors

Prerequisites

  1. Working familiarity with enterprise security practice.
  2. A conceptual understanding of AI systems — models, inference, retrieval, agents.
  3. No prior knowledge of ARMOR required.
  4. No labs, tooling or licenses needed.
  5. Awareness of NIST AI RMF or ISO/IEC 42001 is helpful but optional.

What you'll learn

  1. Why conventional security frameworks aren't sufficient for AI on their own.
  2. How ARMOR's seven domains map to the four stages of the AI lifecycle.
  3. What each domain owns, and what it doesn't.
  4. Why a gap in one domain removes the layer that would have caught the last one.
  5. How runtime observation keeps risk classification current.
  6. What the framework looks like applied at enterprise scale.
Learning path
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Enterprise AI Security with ARMOR