Data masking control

The video tutorial explains data masking as a security control to protect sensitive data, including PII, and comply with legal requirements. It covers the steps to identify data for masking, establish and implement policies, and discusses tools and techniques like anonymization and pseudo anonymization. Anonymization is irreversible, making data unrecognizable, while pseudo anonymization is reversible, allowing data to be decrypted or unscrambled. The tutorial highlights the importance of regularly updating policies and the benefits of these techniques in mitigating data protection risks.

What is the primary goal of data masking?

• To increase data storage capacity

• To enhance data processing speed

• To limit exposure of sensitive data

• To improve data visualization

Which technique involves adding noise to data to make it unrecognizable?

• Pseudo-anonymization

• Encryption

• Anonymization

• Tokenization

What is a key characteristic of pseudo-anonymization?

• It requires no additional information

• It is reversible

• It involves adding external data

• It is irreversible

Which of the following is a reversible data protection technique?

• Data masking

• Tokenization

• Data obfuscation

• Anonymization

How does pseudo-anonymization help in data protection?

• By improving data visualization

• By increasing data storage efficiency

• By ensuring data cannot be attributed to individuals without additional information

• By making data processing faster