Poisoning AI Training Data
infonewsLLM-Specific
securitysafety
Source: Schneier on SecurityFebruary 25, 2026
Summary
A researcher demonstrated how easily AI systems can be manipulated by creating false information on a personal website, which major chatbots like Google's Gemini and ChatGPT then repeated as fact within 24 hours, showing that AI training data poisoning (deliberately adding fake information to the data used to teach AI models) is a serious problem because it's so simple to execute.
Classification
Attack SophisticationTrivial
Impact (CIA+S)
integrity
AI Component TargetedTraining Data
Affected Vendors
OpenAIGoogleAnthropic
Related Issues
Monthly digest — independent AI security research
Original source: https://www.schneier.com/blog/archives/2026/02/poisoning-ai-training-data.html
First tracked: February 25, 2026 at 11:00 AM
Classified by LLM (prompt v3) · confidence: 92%