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