Achieve Regulatory Compliance
with Top-Notch Data Anonymization
at a Fraction of the Cost

Private Data Exchange

Complying with data protection regulations like CCPA, GDPR, & HIPAA is expensive.
Eliminate 75% of compliance costs using our Differential Privacy-based software.

Pridatex improves upon Differential Privacy to allow you to share granular customer data in a way that provably protects individual privacy. Our software helps companies permanently comply with data protection laws, broadens data innovation, and democratizes data science.

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Frequently asked questions

Find quick answers to common questions using our helpful FAQs.

Databases that can format information in terms of rows and columns. So, most databases that store metadata.

Sure, we can integrate it into any setting you have in mind.

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The Pridatex Anonymization Engine

Introduction

Compliance with Data Protection Laws costs the average large company at least $5.5M dollars annually. This cost could triple to $15M dollars annually if companies continue to remain non-compliant. Data Protection Laws however exempt provably anonymous data from regulatory requirements. This is where Pridatex comes in.
The Pridatex Anonymization Engine is a software tool that automatically produces provably anonymous yet accurate data from private data. Using this tool eliminates 75% of costs required for complying with data protection laws – about $4M annually for the average large company. Our software tool can be integrated on-premise or on the cloud and can run without any private data being shared with Pridatex.

Legal Framework

By anonymizing sensitive data, the Pridatex Anonymization Engine helps companies bypass data protection regulations like GDPR (Recital 26). Similar regulations such as CCPAHIPAA, and international data protection laws like LGPD (Brazil) have adopted similar standards in exempting anonymous data from data protection regulations. Additionally, anonymous data is exempt from transfer-of-data regulations such as Schrems II.
Note that many of these laws do NOT accept pseudonymized data i.e. just scrubbing PII’s as a substitute for anonymous data, as outlined in certain legal cases. Also, most encryption methods cannot comply with Article 32 1. (b) because they cannot guarantee the ongoing confidentiality of the data during processing when it needs to be decrypted. On the other hand, our core technology is based on a novel framework of Differential Privacy, has been vetted by the European Data Protection Board (formerly Article 29 Working Party), and recommended for use by the IAPP to produce provably anonymous data. It can maintain the ongoing confidentiality of data during data processing.

Competitive Business Value

The charts above show that Pridatex is better than any of the contemporary anonymization methods. In order to discuss and obtain our competitive cost savings analysis spreadsheet, please click on “Book a Meeting”.

Technical Summary

In order to produce anonymous copies of personal user data, our software is based on the mathematical framework of Differential Privacy. First, our software calculates how much noise needs to be added to the personal user data to nullify the probability of breaching it. Then, our software adds that noise to the personal user data to produce an anonymous copy of it. Thus, the resulting anonymous data provably has a near-zero chance of getting breached. Unlike some contemporary methods, our software produces anonymous data that retains the structural format and size of the personal user data, shows anonymous data at the same individual depth as the personal user data, and almost always preserves 95–99% of the personal user data’s machine learning accuracy in the anonymous data. Our software can be integrated as an API, a plugin, or a standalone application.

Solutions: How our software can be used

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To store data indefinitely without deletion

  • Keep valuable user data for analysis even after retention period of privacy policy has expired.
  • Compliantly retain valuable, yet non-personal, user data even after users request deletion of their data.
  • Store anonymized datasets pooled from multiple countries to be used indefinitely for purposes of data analysis.
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To share data with third parties & transfer it overseas

  • Share data with third parties worldwide, while complying with laws like Schrems II, for optimal outsourcing.
  • Share real-world data with third parties to speed up POCs.

  • Share locally-produced data with international teams or servers across international borders.
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To process data without analytical restrictions

  • Process valuable anonymous data while complying with the Right to Object to Processing under GDPR.
  • Process valuable anonymous data without any restrictions to data analysis.

  • Automate decision making with valuable anonymous data while complying with user requests to not use personal data.

To allow storing data indefinitely without deletion

  • Keep valuable user data for analysis even after retention period of privacy policy has expired.
  • Compliantly retain valuable, yet non-personal, user data even after users request deletion of their data.
  • Store anonymized datasets pooled from multiple countries to be used indefinitely for purposes of data analysis.

To facilitate sharing data with third parties & transferring it overseas

  • Share data with third parties worldwide, while complying with laws like Schrems II, for optimal outsourcing.
  • Share real-world data with third parties to speed up POCs.
  • Share locally-produced data with international teams or servers across international borders.

To facilitate processing valuable data without analytical restrictions

  • Process valuable anonymous data while complying with the Right to Object to Processing under GDPR by not using personal user data.
  • Process valuable anonymous data without any restrictions to data analysis.
  • Automate decision making with valuable anonymous data while complying with user requests for not using their personal data.

Impacts

Pridatex allows all companies to share their data across corporate divisions and international borders without worrying about privacy violations and data protection regulations. It makes the threat of data breaches a thing of the past and clears the path to true data democratization.

Pridatex also allows all individuals in a society to preserve their fundamental right to privacy and yet help both themselves and their community benefit from the utility of their data.

Our benefits to both companies and society include, but are not limited to

Compliance with Data Protection Laws

Strongly comply with even the strictest regulations like GDPR and HIPAA using the proven privacy-preserving capabilities of Differential Privacy.

  • The foundations of Differential Privacy are well accepted by international data protection law.
  • Eliminate the threat of data breaches - even if a data breach occurs, your company will still be protected from the legal and financial repercussions.
  • Retain the same data utility as the original data.

Broadening Data Innovation

Unlock your data assets within your organization to capitalize on communication between different teams.

  • Eliminate the need for encrypting and decrypting sensitive data that could be accessed by only select individuals.
  • Eliminate the need for costly encryption key management.
  • Broaden access to sensitive data for teams and employees to freely cross-collaborate and communicate with one another.

Democratizing Data Science

Open the market up for data science to access innovative data analytics solutions quickly.

  • Broaden access to data for competing and cooperating third parties and freelancers to analyze.
  • Be able to share your data with data analysts worldwide to access great solutions fast.
  • Overcome the data localization laws of a country that restrict you from sharing data outside the international borders of that country.

Feel Free to Contact Us

If you have any questions about our product, want to schedule a demo, or require additional support, please get in touch with us using the form below.