According to Anthropic (@AnthropicAI), new research demonstrates that injecting just a few malicious documents into training data can introduce significant vulnerabilities in AI models, regardless of the model's size or dataset scale (source: Anthropic, Twitter, Oct 9, 2025). This finding highlights that data-poisoning attacks are more feasible and practical than previously assumed, raising urgent concerns for AI security and robustness. The research underscores the need for businesses developing or deploying AI solutions to implement advanced data validation and monitoring strategies to mitigate these risks and safeguard model integrity.