IGA-2026: The Future of Governed AI introduces a next-generation governancearchitecture designed to transform artificial intelligence from predictive systems into governed, explainable, auditable, and accountable enterprise intelligence. The book ...
IGA-2026: The Future of Governed AI introduces a next-generation governancearchitecture designed to transform artificial intelligence from predictive systems into governed, explainable, auditable, and accountable enterprise intelligence. The book presents the integration of the 3D–10D AI DNN Engine (Cognitive Cube), Analyzer 1.0, NeuroGov+ (Advanced AI), and the IGA-2026 framework using the INFORM →GOVERN → ASSURE model. It explains how AI-generated intelligence can be validated through KPI, TSI, OSI, RMSE release gates, policy governance, and audit assurance before enterprise decisions are approved. Covering domains such as finance, healthcare, manufacturing, education, logistics, and governance systems, the book demonstrates how governed AI can support safer and more reliable decision-making. It positions NeuroGov+ as a governance-driven enterprise architecture where AI thinks, governance decides, and ASSURE proves.