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This conversation between Tony Scott from Intrusion and Dr. Haywood from Nomad Cyber Concepts explores the critical challenges of AI governance in modern enterprises. Dr. Haywood discusses how many companies believe they have adequate AI governance with policies and committees, but lack visibility into 'shadow AI' meaning unauthorized AI use throughout their organizations. The discussion covers the importance of holistic governance committees including representatives from all business lines, the intersection of AI and data governance, and the need for continuous monitoring rather than checkbox compliance. They emphasize that traditional governance approaches are insufficient for AI's fluid nature across enterprises. The conversation also addresses risk tolerance variations between security practitioners who advocate caution and boards pushing for rapid market adoption. Key themes include the inevitability of a major AI-related incident in 2026, the importance of human-in-the-loop processes, and the need for enterprises to shift from old governance mindsets to more agile, continuous approaches. Chapters: 00:00 Introduction to AI Governance and Cybersecurity 03:06 Understanding AI Policies and Shadow AI 05:55 The Role of Governance Committees in AI 08:59 Data Governance and AI Risk Management 12:03 Shifting Mindsets in AI Governance 14:52 The Continuous Education on AI Capabilities 16:23 The Importance of Continuous Monitoring 19:30 Understanding AI Governance and Risk Management 22:44 Preparing for Regulatory Changes in AI 26:14 The Rise of Aogenic Models and Their Risks 29:04 The Necessity of Human Oversight in AI 31:31 Conclusion and Future Perspectives on AI Governance