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Glossary
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Data Masking

Data masking is a technique used to protect sensitive information by replacing, scrambling, or hiding real data with fictitious, obscured, or random characters to prevent unauthorized access or disclosure.

Example #1

Example: In a database containing customer information, data masking can be used to replace actual credit card numbers with tokenized or masked versions to maintain privacy and security.

Example #2

Example: Within an organization, sensitive employee salary details can be masked to restrict access to only authorized personnel while preserving the integrity of the data.

Misuse

Misuse of data masking can occur if inadequate masking techniques are employed, leading to the exposure of sensitive information. For instance, if only parts of a social security number are masked, malicious actors could potentially deduce the complete number, posing a significant risk of identity theft. Therefore, it's crucial to implement robust data masking strategies to ensure complete protection of confidential data.

Benefits

Data masking helps safeguard personal and sensitive information from unauthorized access, reducing the likelihood of data breaches and identity theft. For example, by masking personally identifiable information (PII) in a customer database, organizations can securely use the data for testing, analytics, or employee training without compromising individuals' privacy.

Conclusion

Data masking is a vital tool in maintaining data privacy and security. By obscuring sensitive information, organizations can responsibly manage and utilize data while minimizing the risk of unauthorized access or misuse. Consumers and employees benefit from enhanced privacy protection, reducing the chances of their personal data falling into the wrong hands.

Related Terms

Personally Identifiable Information (PII)Identity TheftData BreachData Security

Last Modified: 4/30/2024
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