Data protection when using AI involves a set of measures and procedures that ensure that data fed into AI tools—including sensitive corporate or personal data — is not misused, leaked, or used without consent for further model training by third parties. In practice, this includes, for example, privacy settings in enterprise versions of AI tools, encryption of transmitted data, and clear internal company policies that define what data employees are permitted to input into AI systems.