Poisoned AI Data Pipelines: When Tainted Data Corrupts Machine Learning Models

  As artificial intelligence becomes deeply embedded across industries, the integrity of data flowing through interconnected pipelines is critical for training reliable machine learning models. However, there are concerning scenarios where if upstream AI systems become compromised by data poisoning attacks, that corruption could potentially cascade through entire AI supply chains - undermining downstream models [...]