
What Is Data Poisoning in AI? | CrowdStrike
Data poisoning is a cyberattack where adversaries tamper with training datasets in AI/ML models to manipulate output. It introduces bias, degrades accuracy, or implants backdoors. Protection requires robust monitoring, validation, and insider threat detection.









