Why does TLS not actually hide what I am asking my AI assistant?
機会
Streaming LLM responses emit tokens one at a time over an encrypted connection, and each packet arrival changes size and timing in ways that correlate with topic. The Whisper Leak paper published in November 2025 demonstrated topic classification with above 98% AUPRC across 28 major providers using only encrypted traffic metadata. Several providers issued patches but each mitigation trades query privacy for added latency and there is no agreed specification for what a sufficient defense looks like. The structural problem is that any low-latency streaming protocol leaks information through timing, so padding and noise are palliatives rather than solutions.
重要な理由
Every enterprise using a hosted LLM for sensitive work is operating under a false assumption about what TLS protects, and the fix requires rethinking the streaming transport layer itself.
機会をどう評価するか
Opportunity Scoreは測定値ではなく、私自身の見解です。どれほど痛みを伴うか、どれほど頻繁に影響を与えるか、そして今日時点で解決策がいかに少ないか。スコアが高いほど、構築する価値が高いと私は考えています。
それが現れたときにどれほどの痛みをもたらすか。
実際にどれほど頻繁に人々がそれに直面するか。
今日時点で、それに対する優れたツールがいかに少ないか。