Data Security

Content filtering is the process of restricting access to specific data or information based on predefined criteria.

Data obfuscation is a technique used to protect sensitive information by making it unintelligible or difficult to interpret.

Data retention refers to the policies and practices surrounding the storage and management of data over time.

Data Security refers to the protection of digital information from unauthorized access or corruption.

Homomorphic encryption allows computations on encrypted data without needing to decrypt it.

Prompt leaking occurs when an AI model reveals internal instructions or prompts used during its training.

Tokenization is the process of converting data into smaller, manageable units called tokens for ease of use and security.