Which techniques can be employed by advanced test data generation tools to ensure data privacy and compliance with regulations?

  • Data replication, Data obfuscation, Data hashing, Data validation
  • Data shuffling, Data scrambling, Tokenization, Data deletion
  • Masking, Encryption, Data anonymization, Redaction
  • Obfuscation, Pseudonymization, Data suppression, Data minimization
Advanced test data generation tools employ techniques such as masking, encryption, data anonymization, and redaction to ensure data privacy and compliance with regulations. Masking involves replacing sensitive data with fictional data that retains the format of the original data but doesn't reveal its actual content. Encryption secures the data by encoding it, making it accessible only with the correct decryption key. Data anonymization involves removing personally identifiable information from the dataset. Redaction involves selectively removing or obscuring sensitive information from documents or datasets. These techniques help organizations protect sensitive information and comply with privacy regulations such as GDPR and HIPAA.
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