Episode 44 — Set recovery goals for AI services, data pipelines, and vendors (Task 17)
This episode focuses on Task 17 by showing how to set recovery goals for AI services, data pipelines, and vendors, because AAISM expects you to define recovery in measurable terms that match business impact and risk tolerance instead of using vague “restore ASAP” language. You’ll learn how to express recovery goals through service priorities, maximum tolerable downtime, data freshness expectations, acceptable loss windows for pipeline states, and clear responsibilities when recovery depends on third-party platforms. We’ll walk through a scenario where an AI feature depends on a vendor-hosted model plus internal retrieval infrastructure, and you’ll practice setting goals that account for both components, including what must be restored first, what can remain degraded, and what safety controls must be verified before returning to full service. Troubleshooting covers common gaps like ignoring downstream business processes, assuming vendor SLAs cover your specific use case, and failing to test recovery goals against real operational constraints and change windows. 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.
