How do I prove that what my agent remembers belongs only to me?
机会
AI agents deployed to thousands of users share underlying infrastructure: vector stores, semantic caches, and retrieval indexes. When tenancy boundaries are not enforced correctly, facts from one user's session appear as retrieved context in another user's response. There is no error or alert, just a subtly wrong answer carrying someone else's private data. A 2026 benchmark paper on cross-session threats in LLM agents explicitly models this failure class because no standard architectural primitive reliably closes it across all retrieval and caching layers simultaneously.
为什么重要
Multi-tenant agents cannot reach regulated industries like healthcare and finance until cross-session isolation is as verifiable as filesystem permissions.
我如何评估机会
机会评分是我的个人判断,而非量化指标:痛苦程度、发生频率,以及当前解决方案的匮乏程度。分数越高,意味着我认为越值得去构建。
出现时造成的痛苦程度。
人们实际遇到它的频率。
当前针对它的优质工具有多匮乏。