![]() You may have heard of it as data scrambling, data blinding, or data shuffling. Using masked out data, testing, training, development, or support teams can work with a dataset without putting real data at risk. Data masking substitutes realistic but false data for original data to ensure privacy.The real data never leaves the organization, and can't be seen or decrypted by a third-party processor. Tokenized data supports operations like running a credit card payment without revealing the credit card number. However, you can map the token back to the original data. Tokenization substitutes sensitive data with a value that is meaningless.Encryption is a good obfuscation method if you need to store or transfer sensitive data securely. The more complex the data encryption algorithm, the safer the data will be from unauthorized access. Encryption is very secure, but you lose the ability to work with or analyze the data while it’s encrypted.Let's take a brief dive into these three main types of data obfuscation: Data masking, on the other hand, is irreversible if done correctly. ![]() Encryption and tokenization are reversible in that the original values can be derived from the obfuscated data. Three of the most common techniques used to obfuscate data are encryption, tokenization, and data masking.Įncryption, tokenization, and data masking work in different ways. Obfuscation is an umbrella term for a variety of processes that transform data into another form in order to protect sensitive information or personal data. That's because there are many different methods, each designed for specific purposes. If you ask ten people the definition of data obfuscation, you'll get 12 different answers. Organizations should prioritize obfuscating sensitive information in their data. The organization - and any individuals in the data - will remain uncompromised. In the event of a data breach, sensitive data will be useless to attackers. Data obfuscation could have prevented the disclosure of many of those records, even if the breaches were successful.ĭata obfuscation is a process to obscure the meaning of data as an added layer of data protection. ![]() According to IBM, data breaches are also getting more costly. That's over 10 billion data records breached. ![]() Privacy Rights Clearinghouse’s Chronology of Data Breaches lists more than 9,000 data breaches made public since 2005. Not only does the world run on data, but data breaches keep growing in frequency and scale. Data governance framework – guide and examplesĭata privacy has never been more of a concern than it is today.Data Governance Tools: The Best Tools to Organize, Access, Protect.Data governance with Snowflake: 3 things you need to know.Stitch Fully-managed data pipeline for analytics.Talend Data Fabric The unified platform for reliable, accessible data. ![]()
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