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Data masking - Wikipedia
Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel.
What is Data Masking? - Static and Dynamic Data Masking …
Data masking is the process of hiding data by modifying its original letters and numbers. Due to regulatory and privacy requirements, organizations must protect the sensitive data they collect about their customers and operations. Data masking creates fake versions of an organization's data by changing confidential information.
What is Data Masking? Techniques, Types and Best Practices
Data masking, which is also called data sanitization, keeps sensitive information private by making it unrecognizable but still usable. This lets developers, researchers and analysts use a data set without exposing the data to any risk. Data masking is different from encryption.
What is Data Masking? | Techniques & Best Practices | Imperva
2024年12月3日 · What is Data Masking? Data masking is a way to create a fake, but a realistic version of your organizational data. The goal is to protect sensitive data, while providing a functional alternative when real data is not needed—for example, in user training, sales demos, or software testing.
What is Data Masking? - GeeksforGeeks
2021年9月22日 · Data masking means creating an exact replica of pre-existing data in order to keep the original data safe and secure from any safety breaches. Various data masking software is being created so organizations can use them to keep their data safe.
Data Masking Explained, Different Types & How To Implement
2025年1月28日 · Data masking is an invaluable strategy in data security. It offers a refined approach to protecting sensitive information without sacrificing data usability. Understanding these basics establishes a foundation for organisations to build compelling data protection strategies tailored to their needs. Why is Data Masking Essential?
What’s Data Masking? Types, Techniques & Best Practices
2021年8月26日 · Data masking, also known as data obfuscation, hides the actual data using modified content like characters or numbers. The main objective of data masking is creating an alternate version of data that cannot be easily identifiable or reverse engineered, protecting data classified as sensitive.
What is Data Masking? Techniques, Benefits & Examples - CData …
2025年1月29日 · Data masking is a data security technique that alters sensitive information—such as personally identifiable information (PII), payment details, proprietary business data, and health records—to prevent unauthorized access while keeping the data useful for testing, analytics, and other business functions.
What is Data Masking? Best Tips, Practices, and Techniques
Data masking, an umbrella term for data anonymization, pseudonymization, redaction, scrubbing, or de-identification, is a method of protecting sensitive data by replacing the original value with a fictitious but realistic equivalent.
Data Masking: Definition, Types, Techniques, Best Practices - Atlan
Data masking safeguards sensitive information by making it more complicated for a hacker to identify it. The data masking type ensures that data is consistent across several repositories. It constructs a copy of data that backward debugging tools cannot take. Let’s take a closer look at the various types of data masking. 1. Dynamic Data Masking.