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Privitar NOVLT Secures Sensitive Data Using A Format Preserving Encryption Algorithm

Cyber Security, Information Security
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Privitar introduced the latest version of the Privitar Data Privacy Platform. NOVLT, a new tokenization method. NOVLT, which supports broader use cases and data sharing across borders, is designed to provide the benefits of tokenization while removing the dependency of a vault. Customers will have full flexibility to customize their approach to data protection for individual use cases, with Privitar offering two, complementary methods of tokenization.

“Safeguarding data is a challenge that requires different approaches depending on the context – the data, the use case, the user. We developed Privitar NOVLT to strengthen our existing offering and give customers the flexibility to choose exactly the right tokenization approach based on their architecture and performance requirements for each of their use cases. Customers can use a token vault, NOVLT, or a combination of the two, even within the same policy. Privitar eliminates the need to make a false choice,” said Steve Totman, Chief Product Officer at Privitar.

How Privitar NOVLT works

NOVLT uses a format-preserving encryption technique for consistent tokenization to secure sensitive data. It generates consistent and unique tokens with specific forms using certified secure cryptography. It also adds an extra degree of security by supporting Privitar’s unique privacy features, such as the ability to embed Privitar Watermarks in tokenized data and regulated linkability with Protected Data Domains.

Privitar NOVLT is a completely distributed system that ensures data security and interoperability across data sovereignty areas. This is especially advantageous for businesses with a global presence and for businesses that work on projects with foreign partners. Privitar NOVLT will allow them to comply with requirements such as GDPR by de-identifying data in a specific place before sharing it across borders, while yet maintaining a link to a protected dataset in the centre.

“Many of our customers are trying to share data for analysis across geographies, but are blocked by data sovereignty laws. This means data cannot move across boundaries without the appropriate de-identification techniques applied beforehand. Privitar NOVLT makes that possible without the headaches,” added Totman.

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