Data poisoning is a type of cyberattack where malicious actors intentionally insert false or misleading data into the datasets used to train artificial intelligence (AI) or machine learning models. This compromised data can cause the AI system to make incorrect decisions, misclassify information, or become vulnerable to further attacks. Data poisoning can undermine the reliability and security of AI-powered applications, making it a significant threat in fields like cybersecurity, finance, and healthcare.