LLMs respond differently to harmful prompts when AI watermarking is used

As AI watermarking becomes more common for provenance and regulatory compliance, this research shows it can unintentionally alter LLM behavior—especially around safety refusals and tool use under adversarial prompts. For CIOs and technology leaders, the business risk is that watermarking may change model reliability and agent actions in production, creating new security, compliance, and operational tradeoffs that must be validated before rollout. IT organizations should treat watermarking as a material model change, not a cosmetic one, and update governance, testing, and vendor due diligence accordingly.