CIA Triad for LLM Security: Real-World AI Attack Failures

CIA Triad for LLM Security: Real-World AI Attack Failures
The CIA triad still provides a useful way to understand LLM security, because major attacks against models like ChatGPT, Copilot, Claude, and Google systems all map to confidentiality, integrity, or availability failures. Johann Rehberger’s “Trust No AI” and related research show how prompt injection, data poisoning, and model denial-of-service exploit these same three pillars in production AI systems. #ChatGPT #Copilot #Claude #Google #TrustNoAI #JohannRehberger

Keypoints

  • The CIA triad still applies to LLM security.
  • Confidentiality failures expose system prompts and chat history.
  • Integrity attacks use prompt injection and data poisoning to change outputs.
  • Availability attacks can overload inference endpoints with expensive prompts.
  • Research from OpenAI, Microsoft, Anthropic, and Google shows these failures in real systems.

Read More: https://www.toxsec.com/p/cia-triad-for-llm-security