Webinar

Not All Synthetic Data is Created Equal

Privacy-enhancing technologies (PETs) enable analysis on data without falling foul of increasingly strict data protection regulations. We will explore if it is possible to quantify privacy and re-identification risk before and after the application of PETs to demonstrate whether privacy risk has been reduced.

Webinar

Tech Talk with the Regulators

This expert panel of Data Protection Regulators will discuss emerging Privacy-Enhancing Technologies (PETs), anonymization and balancing using data for social good and protecting the right of the individual.

Not All Synthetic Data Is Created Equal
White paper

Not All Synthetic Data Is Created Equal

The privacy risk contained within a synthetic dataset can be objectively quantified so that more informed decisions may be made. Download the white paper to review several approaches to data synthesis and use cases for the datasets they produce.

Global Consumer State of Mind Report 2020
Report

Global Consumer State of Mind Report 2020

Data privacy concerns make it increasingly difficult to generate the insights to gain a competitive edge.

The Global Consumer State of Mind Report 2020 surveyed 8,000 people across the UK, France, India and the USA to discover how businesses can earn their trust while extracting data’s full value

Mindful Data Mining
White paper

Mindful Data Mining

Responsible data analysis can deliver profound social good without eroding the data protection rights of individuals.

Webinar

Data Privacy Mythbusting

Has customer trust been eroded? Dr. Maurice Coyle, Chief Data Scientist at Truata explores this question and some of the myths around the use of personal data and consumer privacy.

PrivSec London 2020 - Business challenges in the age of privacy
Video

PrivSec London 2020 – Business challenges in the age of privacy

In this interview Andre Thompson discusses the priority areas for data professionals as they bid to develop privacy processes within an organization. He provides insight on how Trūata enables privacy-enhanced analytics across a range of use cases including business intelligence, AI modeling, and prescriptive analytics.

Master-Card
Case study

Case Study: Mastercard Business Intelligence Platform

Mastercard needed a data anonymization solution that would scale easily and meet both its own leading privacy standards and those set forth by GDPR.

Data Anonymization Service - Protecting Privacy, Powering Results
Video

Data Anonymization Service – Protecting Privacy, Powering Results

Many businesses rely on data-driven insights for a competitive edge.

The GDPR has been a game changer in Europe and similar laws are being implemented around the globe, making it more challenging for companies to extract value from data while complying with regulations.

Trūata Anonymization Service - How It Works
Video

Trūata Anonymization Service – How It Works

The Trūata Anonymization Service delivers Privacy-Enhanced Analytics