PII Redaction
PII (Personally Identifiable Information) Redaction involves removing or obscuring sensitive personal data (such as names, social security numbers, email addresses, and phone numbers) from documents, datasets, or logs. Redaction is a common data masking technique used to ensure privacy and prevent the exposure of confidential information. For example, in a database of customer information, a redaction process might replace all instances of personal details with placeholder values or encrypted representations.
Image Data Masking
Image Data Masking focuses on obscuring or modifying sensitive information within images, typically used in scenarios where visual content contains identifiable details (like faces, license plates, or sensitive documents). This process might involve blurring, pixelating, or replacing identifiable elements with synthetic data or noise.
Text Data Masking
Text Data Masking involves altering sensitive information in textual data without changing the overall meaning or functionality of the dataset. This may include replacing sensitive data fields (like credit card numbers or addresses) with fake, randomized, or generic data, while ensuring the structure remains intact for testing purposes.
Structured Data Masking
Structured Data Masking is the process of applying masking techniques to structured data formats such as relational databases (e.g., SQL databases). This includes masking fields like credit card numbers, employee IDs, or bank account details while ensuring that data relationships and constraints remain intact for analysis or testing.
Synthetic Data Generation
Synthetic Data Generation is the creation of artificial data that mimics the characteristics of real data without using any actual personal or sensitive information. It is often used as a substitute for real data in testing, training AI models, or analytics, ensuring that sensitive data is never exposed.