As Artificial Intelligence transitions from experimental LLMs to autonomous, real-world agentic workflows, implementing robust AI governance is no longer just a legal requirement—it is a critical business enabler. In this comprehensive guide, we unpack **30 essential AI governance frameworks, global regulations, and technical standards**, organizing them into an actionable **4-Layer AI Governance Stack** for enterprise leaders, software engineers, and compliance teams. Instead of listing 30 frameworks in isolation, this video breaks down how organizations can build a unified compliance and security architecture to de-risk AI, unlock procurement, and secure autonomous AI agents. ### 💡 Key Topics Covered 1. **The Regulatory Floor (Legal Compliance):** * Key global laws including the **EU AI Act**, US State AI Laws (e.g., Colorado SB 26-189, NYC Local Law 144), and international treaties. 2. **The Operational Backbone (Management Standards):** * How executives establish continuous governance using **ISO/IEC 42001** (AI Management Systems) and the **NIST AI Risk Management Framework (AI RMF 1.0 & Generative AI Profile)**. 3. **Technical Security & The Agentic AI Shift:** * Moving from static output checks to **runtime guardrails**, tool execution permissions, and live monitoring with **OWASP Top 10 for LLMs**, **MITRE ATLAS**, and ISO 42006. 4. **Sector-Specific & Ethical Guidance:** * Specialized governance in healthcare (**WHO**), finance (**MAS FEAT**), and international human rights (**UNESCO Ethics Guidelines**, **IEEE 7000 Series**). 5. **5-Step Execution Blueprint:** * Practical roadmap covering AI asset inventory, crosswalk control mapping, and quarterly audit rhythms. ### 🎯 Who Is This Video For? * **Chief Technology Officers (CTOs) & CISOs** managing AI risk and security * **Software Architects & AI Engineers** building autonomous agentic workflows * **Compliance, Legal & Audit Professionals** structuring AI policy matrixes * **Product Leaders & Founders** looking to pass enterprise vendor procurement
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