AI Resilience: Preparing for Failure Before It Becomes a Crisis | Regulated Industries 2026

As AI becomes embedded in critical business processes, resilience is emerging as a key component of enterprise security. In this panel discussion, Mark Orsi, CEO of the Global Resilience Federation, Rick Doten, Former Healthplan CISO, and Francesco Chiarini, VP and CISO in Residence at Rubrik, examine what AI resilience means in practice and how organizations can prepare for AI failures before they become business crises. The panel explores how organizations are adapting resilience frameworks for AI, protecting the integrity of models and data, managing third-party AI dependencies, maintaining visibility across expanding AI deployments, and responding to incidents where restoring trust is just as important as restoring availability. Learn practical strategies for building AI resilience programs that combine governance, security, operational continuity, and accountability to help organizations confidently manage the risks of autonomous AI. Learn more at cloudsecurityalliance.org 🏆 Earn the Trusted AI Safety Expert (TAISE) Certificate: https://cloudsecurityalliance.org/edu... 🔍 Explore the latest AI research, reports, and guidance from industry experts: https://cloudsecurityalliance.org/res... 🎓 Build your expertise with cloud security, AI, and Zero Trust training, certificates, and professional development: https://training.cloudsecurityallianc... 🌐 Discover upcoming conferences, webinars, virtual events, and networking opportunities: https://cloudsecurityalliance.org/eve... 🚀 Learn about the latest AI trends, technologies, and the CSA AI Safety Initiative: https://cloudsecurityalliance.org/ai-... 🛡️ Explore CSAI and discover how CSA is advancing secure, trustworthy, and responsible AI: https://csai.foundation/ 🔐 Explore the Compliance Automation Revolution to be part of real change in IT compliance and assurance: https://cloudsecurityalliance.org/car

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The PROBLEM with Capitalism - Smarter Every Day 316

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Most Valuable Skill of 2026: Managing AI Agents

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