Episode 45 — Plan for vendor outages and safe degraded modes in AI systems (Task 17)
This episode teaches how to plan for vendor outages and degraded operation without creating unsafe or noncompliant AI behavior, which AAISM tests through resilience scenarios where teams must choose between downtime and risky continuity. You will learn how to define “safe degraded mode” options such as limiting features, restricting outputs to low-risk use cases, enforcing stricter human review, or falling back to simpler rules-based decisions when model confidence or integrity cannot be verified. We use examples like a managed LLM provider outage, a vector database failure, and a third-party moderation service disruption to show how dependency design choices affect continuity and risk. Troubleshooting focuses on degraded modes that quietly bypass controls, such as turning off logging to keep performance, disabling guardrails to maintain output, or using unapproved alternate vendors that create new data exposure. 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.
