Beyond Cosmetic Compliance in Data Analytics: A Guide to CPRA
Research shows that more than 90% of organizations are subject to one or more data use rules and regulations. Among the most prominent is the California Consumer Privacy Act (CCPA), which California’s electorate voted to amend in 2020 – just two years after it initially went into effect.
Now known as the California Privacy Rights Act (CPRA), this amendment builds upon the CCPA and brings regulatory requirements — and the punishments for violating them — closer to the GDPR. The changes have critical implications for organizations that use sensitive data. So, what do data teams need to do to strengthen their compliant data protection measures and live up to the CPRA’s standards?
In this white paper, you’ll learn:
- The specific updates in the CPRA and how they differ from the CCPA
- How to leverage dynamic data access control to achieve CPRA compliance in data science environments
- Why automated policy enforcement simplifies compliance with CPRA’s privacy and consumer rights requirements
- How to use smart reporting to improve the quality of data monitoring and auditing
