The Privitar Data Privacy Platform™ supports regulatory compliance and data governance while enabling you to collect and manage sensitive data to gain valuable insights. The General Data Protection Regulation (GDPR) has fundamentally changed the attitudes and approaches organizations must take regarding data privacy and data governance. The GDPR, which defines the principles, rights for individuals and obligations of data processors, poses new non-compliance risks for companies worldwide. Non-compliance risks include fines of up to €20 million or 4% of global revenues, whichever is greater.
When the GDPR went into effect, most compliance initiatives began by addressing the elements of data collection and processing that were most likely to draw attention, such as consent. Since then the environment has evolved. Leading organizations are now adopting comprehensive data governance programs to address underlying risk. This holistic approach can ensure you are GDPR compliant in the short term and future-proof organizations against evolving regulations.
Organizations must be able to demonstrate compliance with GDPR. Privitar is able to record Privacy Policies and the associated de-identification techniques you have applied to each dataset. Privitar also allows Controllers to embed metadata and watermarks to any dataset, allowing you to enforce business policies on data distribution and enable traceability.
Under the General Data Protection Regulation (GDPR), organizations must not process more data than necessary for a specific purpose. Using Privitar Privacy Policies and Protected Data Domains,™ Data Controllers can provision just the data required for each use case.
Rights for data subjects under GDPR include the right to be forgotten. Privitar enables organizations to sever the link between an individual and their data, which can be used to meet this requirement while allowing the data to be retained for analytics.
Again mandates pseudonymization.
Privitar enables organizations to deploy the full range of de-identification techniques to meet the anonymization, data minimization and pseudonymization requirements.