Corrupting the Source: The Rising Threat of AI Training Data Poisoning

As AI models increasingly rely on fine-tuning, attackers are shifting focus to the training pipeline to embed hidden backdoors that bypass standard evaluations. This vulnerability highlights a critical need for verified data sourcing to ensure model integrity before deployment.