Episode 44 — Set recovery goals for AI services, data pipelines, and vendors (Task 17)
This episode explains how to set recovery goals for AI services in a way that matches business impact and operational reality, which AAISM questions often test by asking what should be prioritized and how to justify recovery targets. You will learn to define recovery objectives for availability, data integrity, and decision safety, then translate them into practical goals for model endpoints, supporting pipelines, and vendor-managed components. We walk through scenarios where a pipeline outage causes stale features, where a vendor platform is degraded, and where monitoring is unavailable, showing how recovery goals must account for “can we trust outputs” rather than only “is the endpoint up.” Troubleshooting includes mismatched recovery targets, missing dependencies in recovery plans, and goals that assume vendors can meet timelines without contractual commitments and tested runbooks. 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.
