Data Sovereignty
AI Infrastructure
The practice of protecting digital information from unauthorized access, corruption, or theft.
Detailed Explanation
Data Security in AI Infrastructure involves implementing measures such as encryption, access controls, and regular audits to safeguard digital information. It ensures that sensitive data remains confidential, intact, and available only to authorized users, preventing breaches, theft, and corruption that could compromise AI system integrity and trustworthiness. Robust data security is essential for reliable AI deployment and compliance.
Use Cases
- •Use case: Protecting customer personal data in AI-driven applications to prevent breaches and ensure compliance with privacy regulations.
Related Terms
Other terms in the AI Infrastructure category