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OWASP Top 10 for Large Language Models: Project Update

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OWASP reports concrete uptake: v1 adopted across gov and industry, thousands following on LinkedIn, hundreds of articles and videos, and over 100,000 estimated readers. Project teams publish a solutions guide, map controls to standards and tools, and run initiatives for data collection, first‑party research with University of Illinois, and red‑teaming guidance. Findings call out indirect prompt injections, agent risk and a rising supply‑chain problem with “tens of thousands” of poisoned models on HuggingFace. v2 targets a November release. controls mapping and tooling inventory

AI-written summary · about

  1. 0:00OWASP LLM Top 10 intro
  2. 3:11LLM risks adoption
  3. 9:15Project growth stats
  4. 13:28AI security ecosystem
  5. 17:38Version 2.0 updates
  6. 23:18LLM security trends
  7. 27:36Get involved
  8. 31:28Q&A on AI regs
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