AI Governance, Risk Management and Compliance - Safety, Security, and Resilience in AI Systems

Start your AI GRC training today: https://shop.safeshield.cloud/collections/artificial-intelligence-management-systems-aims/?utm_source=youtube&utm_medium=video&utm_campaign=ai_safety_security_resilience As AI becomes embedded in critical areas, like healthcare and finance, understanding the concept of safety has never been more important. In this video, we explore how the principles of safety, security and resilience form the foundation of trustworthy AI — preventing harm, protecting against attacks, and ensuring systems can recover from failure. You’ll learn how to apply these concepts in practice using global frameworks like ISO/IEC 42001, the EU AI Act, and the NIST AI RMF, and why these 3 principles must evolve together as part of a responsible AI governance strategy. Subscribe for more training on AI governance, risk management, and responsible AI implementation. @SafeshieldTraining 0:00 Intro 2:10 Defining Safety 3:46 Defining Security 5:31 Defining Resilience 7:03 3 Pillars of Responsible AI 8:42 Standards & Frameworks 10:22 Why Safety Matters 11:57 Why Security Matters 13:33 Why Resilience Matters 15:10 Examples of Safety Failures 16:35 Examples of Security Breaches 18:05 Examples of Resilience Challenges 19:32 Integrating Safety 20:52 Integrating Security 22:14 Integrating Resilience 23:30 Risk Based Approaches 24:44 Human Oversight & Accoutability 26:02 Transparency & Explainability 27:36 Incident Response & Recovery 28:54 Monitoring & Improvement 30:02 Culture & Resilience 31:17 AI in Critical Infrastructure 32:34 Case Studies 34:58 Future Challenges 38:43 Key Takeaways