{
  "id": 820,
  "url": "https://arxiv.org/abs/2606.19887v2",
  "title": "FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming",
  "summary": "Existing safety benchmarks target general adversarial scenarios but miss finance-specific risks. Financial LLMs face regulatory compliance violations, fraud facilitation, and systemic trust erosion that require targeted evaluation. We introduce FinRED, an expert-guided red-teaming framework for financial LLM safety evaluation developed with financial experts. FinRED uses a novel two-level taxonomy mapping global standards (e.g., FATF and EU DORA) to threats ranging from regulatory evasion to com",
  "authors": "Chaeyun Kim, Daeyoung Park, Junghwan Kim, Jinyoung Jeong, Eunji Song, Yongtaek Lim et al.",
  "category": "research",
  "topics": "regulation,safety-alignment",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-06-18T07:46:18.000Z",
  "fetched_at": "2026-07-14T14:14:50.322Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/820",
  "original_url": "https://arxiv.org/abs/2606.19887v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}