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Practices

Implementation guides for enterprise AI security practitioners, linked to specific IAAI pillars and the strategic hypotheses they support.

P001v2.0.0Draft

Identity-Aware AI Security Practice

Implement identity-aware authorization as the primary AI control plane and run it as a closed loop across policy, retrieval, abstraction, security operations, and governance.

P002v1.0.0Draft

Post-AI Security Operations Practice

Extend security operations so every AI interaction is observable, analyzable, and convertible into better identity-aware policies and governance decisions.

P003v2.0.0Draft

Enterprise AI Governance Practice

Run Enterprise AI Governance as a peer board that steers AI use-cases, risk, and controls across identity-aware AI security pillars in line with enterprise values, obligations, and strategy.

P004v1.0.0Active

Strategic Operations Governance Practice

Run the enterprise as transformation stacks with shared backlogs, cadences, and decision rights so humans and AI agents advance strategy together instead of in fragmented, hyperactive silos.

P005v2.0.0Draft

Agentic Enterprise Architecture Practice

Design and operate your enterprise “software” as an AI-driven agentic fabric that sits above systems and data, governed by codified business rules, unified data management, and identity-aware security, rather than bespoke application UIs.