15 Privacy and Security Questions Every AI Builder Must Answer
hugobowne · x · 2026-08-12
This article delves into the technical privacy challenges of deploying LLMs, agents, and multimodal systems in the real world. Key takeaways include treating system prompts and the entire agent harness as public by default, and emphasizing that "privacy observability" is as critical as data observability for LLM builders.
Structured as a Q&A, it addresses the top 15 questions from developers, covering foundational concepts, compliance, privacy controls, guardrails, recommended tools, and methods to evaluate and test AI privacy.
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