Episode 43 — Add AI systems to business continuity plans without hidden weak points (Task 17)
This episode addresses Task 17 by teaching how to add AI systems to business continuity plans without hidden weak points, because AAISM tests whether you can treat AI services as real dependencies with failure modes, not optional features that can be ignored during outages. You’ll define what business continuity means for AI-enabled processes by identifying which business functions rely on inference services, data pipelines, model hosting, identity providers, and third-party connectors, then mapping how those dependencies fail and what “acceptable” degraded operation looks like. We’ll use a scenario where a support organization relies on an AI assistant for case triage and knowledge retrieval, and you’ll practice planning continuity controls such as fallback workflows, manual validation gates, alternate data access methods, and communication plans that keep service safe when AI is unavailable or unreliable. Exam-wise, you’ll learn to choose answers that formalize continuity ownership, testing, and documentation, rather than relying on informal “we’ll handle it” assumptions. 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.
