{
  "id": 12999245,
  "title": "LTBD: Learnable Trust-Boundary Delimiters for Prompt Injection Defense",
  "url": "https://urgent.news/2026/10/08/ltbd-learnable-trust-boundary-delimiters-for-prompt-injection-defense",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-08T10:13:24.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.11634v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models (LLMs) perform remarkably well on complex tasks, yet remain highly vulnerable to prompt injection attacks, where malicious instructions embedded in external data can override user intent. Existing defenses remain limited by model fine-tuning requirements, vulnerability to adaptive attacks, or reliance on brittle handcrafted prompts. We argue that a fundamental source of this…",
  "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."
}