Technical
Data Poisoning
An attack in which malicious data is injected into an AI system's training dataset to manipulate its behaviour. Can cause a model to learn incorrect patterns, develop backdoors, or produce targeted erroneous outputs. A significant supply chain risk for organisations using third-party datasets or model providers.
Referenced in frameworks
MITRE ATLAS NIST AI 600-1 NIST AI RMF