Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Prime Factors Recognized In 2023 Gartner Market Guide for Data Masking

Prime Factors, a leader in application-level data protection, has been recognized by Gartner among Representative Vendors in its Market Guide for Data Masking, 2023.

In the Market Guide for Data Masking, 2023, Gartner recognized EncryptRIGHT software from Prime Factors among Representative Vendors in Data Masking, stating “for years, privacy and test data use cases have been addressed by niche data masking controls. As it matures, the data masking market is consolidating controls into data security platforms.”

Gartner had previously named EncryptRIGHT as a data security platform (DSP) in its 2022 Innovation Insight for Data Security Platforms, a space that has become a top priority for security and risk management leaders who want to proactively manage technology, information and resilience risk.

Recommended AI: SAS Joins CESMII to Accelerate the Adoption of Analytics and AI

Gartner observes, “although DM products originated to address use cases different from tokenization and [format preserving encryption], product architectures and supporting functionality have a lot in common, and we are seeing some market convergence.” Yet, according to Gartner, “the number of technologies that teams utilize for data protection has been creeping up as the complexity of requirements has been evolving faster than vendors have consolidated and integrated technologies.”

Related Posts
1 of 40,640

“Protecting data, especially at the application level, where data is most at risk, can be exceptionally complex,” said Justin Teitt, chief operating officer of Prime Factors. “Far too often, we see enterprises either settle for fragmented legacy products that offer limited functionality or attempt to implement solutions that take tremendous effort to integrate, leading to implementations that last months or even years and require exhaustive upkeep. However, EncryptRIGHT, one of the world’s first and most advanced DSPs, was designed to simplify implementing data protection at the highest level without sacrificing functionality.”

Recommended AI: Millennium Physician Group and Navina Release Value-Based Results of Technology Implementation

The Market Guide advises, “the need to mask sensitive data at scale and to protect and govern sensitive data assets has increased as organizations have rapidly modernized their data and analytics (D&A) architectures. Data masking (DM) is a practical and mature technology for deidentification of data, while still allowing for some analytical capabilities.”

“We believe that data masking is a key component of an organization’s overall data security program,” said Henry Cheli, CEO of Prime Factors. “However, we continue to stress the importance of this functionality being a part of a wider set of functionality that modern enterprises need to protect data and enforce privacy. EncryptRIGHT delivers a broad spectrum of data protection functionality that an enterprise of any size needs to mitigate data risks, including tokenization, encryption, dynamic data masking, traceability, access controls, and key management, working seamlessly at the application level in a single code base that is easy to deploy and manage. Now robust data protection can be implemented at the application layer without expensive and prolonged integrations and without needing application programmers to be cryptography experts.”

Recommended AI: Stability AI Partners With Krikey AI to Launch AI Animation Tools

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.