How do I prove that what my agent remembers belongs only to me?
Opportunity
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.
Why it matters
Multi-tenant agents cannot reach regulated industries like healthcare and finance until cross-session isolation is as verifiable as filesystem permissions.
How I score the opportunity
The Opportunity Score is my own read, not a measurement: how much it hurts, how often it bites, and how little exists to solve it today. Higher means I think it is more worth building.
How much pain it causes when it shows up.
How often people actually run into it.
How little good tooling exists for it today.
More problems worth solving
Why does every AI app forget me the moment I close the tab?
AIWhy is learning a new field still gated by knowing what to ask?
AIWhy can a non-expert not verify what an AI just told them?
AIWhy do we test models on benchmarks but ship them on vibes?
AIWhy do AI agents have no memory of their own mistakes?
AIWhy can't I audit what a model was actually trained on?