Strategic Principle Hypotheses
Testable propositions about enterprise AI security. Each hypothesis is argued using the Toulmin method: claim, grounds, warrant, backing, qualifier, and rebuttal. Assertion records from the IAAI framework support or challenge each claim.
Identity-Aware AI Security in a Five-Pillar Architecture
Identity-aware authorization is the primary AI control plane when operated as a closed loop across policy, retrieval, abstraction, security operations, and governance.
Post-AI Security Operations as the Safety Net for Identity-Aware AI
Treat AI as both a new source of risk and a new security capability by extending security operations to monitor AI interactions and feed continuous technical feedback into identity-aware policies and governance.
Enterprise AI Governance as Supervisory Oversight for AI
Establish Enterprise AI Governance as a peer board that translates AI risk appetite into concrete policies, controls, and portfolio decisions across the identity-aware AI security pillars.
Strategic Operations Governance as the Post-AI Operating Model
Strategic Operations Governance becomes the operating-model spine that aligns cross-functional change and AI-driven work with enterprise strategy.