Fewer Barriers, Better Protection Methods

Protegrity has over 100 patents and patents pending for our industry-leading data protection methods. Only Protegrity enables you to access the full range of methods, from masking to vaultless tokenization, at a column-level, all within the same database. Protegrity provides extreme flexibility so you can protect necessary data, using your preferred method, based on the level of sensitivity of the data. Unlock your data while maintaining protection across all of your databases, data warehouses, applications, and more. Explore our data protection methods below to learn more about Protegrity’s capabilities.

DOWNLOAD METHODS OF DATA PROTECTION

Protegrity’s Approach to Security

There are many methods to protect data. Some are quick and easy, yet risky. Others are impenetrable, like a vault, but slow down availability. Depending on the level of sensitivity of the data, you may need them all. Protegrity provides a full range of security methods, so you can decide when and where to use each one or combine methods to target your specific use case. No other platform provides you with this level of flexibility and choice.

CHECK OUT OUR PLATFORM

Protegrity Vaultless Tokenization

Protegrity has pioneered a sophisticated form of tokenization that uses small, static token tables to create unique, random token values without the need for a dynamic, vaulted lookup-table. Users benefit from a highly scalable, flexible, and powerful protection method for structured and semi-structured data.

Encryption

Data encryption technology uses mathematical algorithms and cryptographic keys to alter data into binary ciphertext. Encryption is typically used at the file level. Format-Preserving Encryption (FPE) combines some of the benefits of encryption and tokenization for instances where performance is not a concern.

Static and Dynamic Data Masking

Static Data Masking (SDM) is used to protect data in test and development environments (non-production). Dynamic Data Masking (DDM) is used to protect data on the move. Both methods mask the data so that it has the appearance of authentic production data.

Anonymization

Anonymization is an irreversible data protection method that is used when data does not need to be re-identified. Anonymized data falls outside of data privacy regulations, making it an exceptional method for secure machine learning and artificial intelligence initiatives.

The Data Lifecycle

Data has a lifecycle in your enterprise. It only delivers value if it moves from the point of origin or collection through your transactional and analytics systems, and ultimately to additional usage. Keep your data moving securely with Protegrity’s data protection platform.

VIEW OUR PLATFORM