OSINT (Open Source Intelligence) data poisoning is
a specialized cyberattack where threat actors deliberately corrupt or manipulate publicly available information—such as internet data, social media, or public repositories—to poison the datasets used to train, fine-tune, or instruct artificial intelligence (AI) and machine learning (ML) models.