Privacy 101: Creating GDPR & CCPA Compliant Data Lakes
Date: 2019-12-04 @11:00 ET
As enterprises collect customer data in data lakes for secondary purpose processing, they risk non-compliance with privacy regulations.
Assessing the Risk of Re-Identification for Privacy Compliance
Assess the risk of re-identification in your datasets automatically and embed risk scoring into your compliance assessment processes.
A Future of Compliance: Navigating GDPR and Data Governance Challenges
Standardizing your businesses’ approach to data governance and compliance will help navigate the challenges of the new GDPR landscape.
Why Enterprise-class Privacy Automation is Now Required
Learn how to address the increasing demand for privacy control in a consistent and enterprise-class manner.
Building Privacy Automation into Data Science Architectures
With privacy automation, Risk & Compliance teams can collaborate with Data Science teams to add business value.
Facilitating Multi-Site Research: Privacy, HIPAA and Data Residency
Hospitals often lack sufficient patient data to perform useful analytics, but regulations limit data-sharing. Learn how to solve this.
Balancing Privacy Compliance and Data Science
Watch to learn how CryptoNumerics’ privacy automation software can de-identify data while retaining the analytical value.
How to Reduce Privacy Risk by Creating Privacy-protected Datasets
Data-driven organizations find themselves caught between privacy and analytics. Fortunately, there is a way to reconcile both needs.
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