Episode 78 — Protect embeddings, prompts, and inference logs as sensitive AI assets (Task 14)
This episode teaches why embeddings, prompts, and inference logs must be treated as sensitive assets, because AAISM scenarios often test whether you recognize non-obvious data that can reveal secrets, personal data, or proprietary information. You will learn how embeddings can encode sensitive context, how prompts can contain confidential instructions or data pasted by users, and how logs can create long-lived exposure if retention and access are not controlled. We walk through practical protections such as classification, least-privilege access, encryption, retention limits, and monitoring for abnormal access patterns, along with how to document evidence that these controls are working. Troubleshooting focuses on overlooked exposures like debug logging, shared prompt libraries without ownership, and uncontrolled access to vector stores that become easy targets for theft or misuse. 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.
