{
  "id": 527038,
  "title": "Stealing Reasoning Traces from Proprietary LLM APIs",
  "url": "https://urgent.news/2026/08/10/stealing-reasoning-traces-from-proprietary-llm-apis",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T17:24:50.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.09867v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Leading large language model providers now conceal their models' step-by-step reasoning, or chain-of-thought, to protect intellectual property and limit information leakage. Rather than storing these traces server-side, providers return them to the client as blocks of encrypted text, which the client passes back with each subsequent request. Building on prior research, we identify an…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}