Introduces a framework to enhance governance, security, and compliance in autonomous AI systems, indicating a need for integrated approaches.
The rapid deployment of autonomous AI agents in production environments has exposed a structural gap: the frameworks governing openness, intelligence capabilities, security, and compliance operate in silos, each addressing a single dimension of a fundamentally multidimensional problem. This paper introduces OISG (Open Intelligent Secure Governed) as a unifying paradigm that formalises the interdependence between these four dimensions and provides a conceptual framework for evaluating, designing, and operating AI systems that satisfy all four simultaneously. OISG does not replace existing standards — EU AI Act, NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for Agentic Applications — but establishes a meta-framework that maps their intersections, exposes coverage gaps, and defines a feedback loop where each dimension constrains and enables the others. We ground the paradigm in the current regulatory timeline, the emergent properties of multi-agent systems, and the operational requirements of sovereign AI infrastructure.
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Stefano Noferi (2026) studied this question.
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