AI Termcirca 2010· Added Aug 20, 2026
AI Data Protection
Practices and technologies used to safeguard AI systems and data.
AI data protection encompasses a range of measures designed to prevent unauthorized access, use, or exploitation of AI systems and data. This includes ensuring the confidentiality, integrity, and availability of AI data, as well as protecting against potential threats such as data breaches, cyber attacks, and insider threats. Effective AI data protection requires a comprehensive approach that incorporates technical, organizational, and regulatory measures.
Examples
- Implementing encryption and access controls for AI data
- Conducting regular security audits and risk assessments for AI systems
Common misconceptions
- Assuming AI systems are inherently secure
- Believing that AI data protection is solely the responsibility of AI developers
Also known as: AI security, AI privacy
Related terms
Want more like this?
Open the full library
Plain-English AI lessons, prompts and guides.