Episode 43 — Add AI systems to business continuity plans without hidden weak points (Task 17)
This episode teaches how to include AI systems in business continuity planning so operational resilience covers the full AI delivery chain, which AAISM tests through scenarios where outages and incidents reveal overlooked dependencies. You will learn to map continuity scope across model endpoints, data pipelines, feature stores, identity services, logging, and third-party platforms, then identify single points of failure such as one vendor region, one API dependency, or one unmanaged service account. We use examples like an internal copilot going down during a critical business period and a customer-facing model losing its data feed to show how continuity planning must include both technical recovery and safe operating constraints. Troubleshooting focuses on continuity plans that ignore AI-specific dependencies, lack owners, and fail to define what “safe operation” means when accuracy, integrity, or policy compliance cannot be confirmed. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
