Explanation

Training data poisoning manipulates datasets to influence model behavior with targeted bias, hidden triggers, or malicious latent behaviors. In retrieval-augmented and fine-tuned systems, poisoned corpora can silently shape outputs and degrade trust. Because poisoning may remain dormant, detection requires lifecycle monitoring and provenance controls.