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Data Masking vs Redaction

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Data masking is the process of replacing authentic information with inauthentic information that has the same structure.
Redaction is blacking out or removing information that is personally identifiable, sensitive, confidential or classified.

Data Masking vs Redaction

Data masking and redaction are associated with different goals and methods.
Data masking is primarily associated with creating test data and training data by removing personal or confidential information from production data. The goal of data masking it to maintain the same structure of data so that it will work in applications. This often requires shuffling and replacement algorithms that leave data types such as numbers and dates intact.
Redaction is used to release human readable information without disclosing something personally identifiable or classified. For example, a study may release its detailed notes but redact the names of study participants. As such, redaction completely removes or blacks out sensitive fields or content.
Data Masking vs Redaction
Data Masking
Removing sensitive data while maintaining the same structure so that data remains functional for processes such as testing and training.
Removing sensitive information in a secure manner such as removal, encryption or blacking out.

Information Security

This is the complete list of articles we have written about information security.
Audit Trail
Canary Trap
Confidential Information
Critical Infrastructure
Cryptographic Keys
Cryptographic Salt
Cybersecurity Risk
Data Breach
Data Remanence
Data Room
Data Security
Deep Magic
Defense In Depth
Digital Identity
Failure Of Imagination
Incident Response
IoT Security
Key Stretching
Network Security
Operations Security
Overlay Network
Password Entropy
Password Fatigue
Proof Of Work
Secure Code Review
Security As A Service
Security Controls
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