Data Protection involves implementing technical and organizational measures to safeguard personal and sensitive information used in AI systems. It ensures confidentiality, integrity, and privacy by applying encryption, access controls, anonymization, and compliance with legal regulations. Effective data protection minimizes risks of data breaches and misuse, promoting trust and ethical usage of AI technologies.