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Storia in 3 fonti

Security researchers tricked LLMs into giving them cocaine recipes by abusing role models for prompt injection

If you want a picture of the future of LLM security, imagine Whac-a-Mole meets Groundhog Day

Raccontata daventurebeat.comtheregister.comtomshardware.com

Confronto fonti

3 prospettive sulla stessa storia
AI · summaries
theregister.comStai leggendo2 g fa

Security researchers tricked LLMs into giving them cocaine recipes by abusing role models for prompt injection

If you want a picture of the future of LLM security, imagine Whac-a-Mole meets Groundhog Day

originale
venturebeat.com3 g fa

Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and…

Prompt injection compromised 90+ enterprises in 2025 (+89% YoY); OWASP ranks as LLM01 critical. For tech managers deploying copilots and multi-agent systems, attacks steal data and corrupt workflows—treating LLMs as untrusted is now non-negotiable.

Leggi questa versione →

Timeline cronologica

  1. domenica 28 giugno 2026·venturebeat.com

    Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

    In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with…

  2. martedì 30 giugno 2026·theregister.com

    Security researchers tricked LLMs into giving them cocaine recipes by abusing role models for prompt injection

    If you want a picture of the future of LLM security, imagine Whac-a-Mole meets Groundhog Day

originale
tomshardware.com18 h fa

AI researchers trick chatbots into sharing how to make cocaine as long as they believe a user is wearing a…

Researchers say models judge a prompt’s authority by how it sounds, not where it comes from.

Leggi questa versione → originale
  • mercoledì 1 luglio 2026·tomshardware.com

    AI researchers trick chatbots into sharing how to make cocaine as long as they believe a user is wearing a green shirt — 'CoT Forgery'…

    Researchers say models judge a prompt’s authority by how it sounds, not where it comes from.