3 Things to Know About AI Data Poisoning

This commentary warns that AI data poisoning — the intentional contamination or manipulation of training data — is an inevitable and high-impact cybersecurity threat capable of undermining AI systems across sectors (healthcare, retail, transportation, etc.). It likens the risk to supply-chain compromises like SolarWinds, cautions that attackers may play a long game, and argues organizations must strengthen data governance (elevating the chief data officer role) and adopt controls to ensure AI trustworthiness and resilience.