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AI Governance is no longer theoretical — it’s an operational security and risk problem. In this video, I walk through a practical AI Governance Readiness Workbook I built using the NIST AI Risk Management Framework (AI RMF), with a security, GRC, and engineering lens. This workbook is designed to help organizations move beyond policies and buzzwords and actually assess whether they can govern AI systems in real-world environments. You’ll see how the workbook breaks AI governance into GOVERN, MAP, MEASURE, and MANAGE, and why each function must include proactive, detective, and reactive controls. I explain how security teams, engineers, and GRC professionals can use this workbook to identify governance gaps, assign accountability, evaluate AI risk, and support internal reviews, audits, or leadership discussions. This is not a certification checklist or legal guidance. It’s a readiness and maturity assessment tool built for organizations deploying AI, using third-party AI, or integrating AI into cloud and DevSecOps environments. 🎁 Download the AI Governance Readiness Workbook (Free): 👉 https://jusharra.gumroad.com/l/AIGove... If you’re working in AI security, cloud security, GRC, DevSecOps, or identity engineering, this walkthrough will give you a concrete way to think about governing AI systems responsibly and securely. #AIGovernance #NISTAIRMF #AISecurity #GRC #DevSecOps #CloudSecurity #IdentitySecurity #AICompliance #Cybersecurity #RiskManagement #CISO #AIEngineering #SecurityLeadership