Join our webinar on democratizing data in the cloud with Forrester, Snowflake and TIAA - Sign up here

Start Now

To comply with modern regulations like CCPA, we need to rethink privacy. Privacy needs to be operationalized with automated discovery of each individual’s data across structured and unstructured systems and layers of automation and orchestration on top of it to comply with all aspects of global privacy regulations.

The perfect storm is brewing within global enterprises. The convergence of exploding data volumes and increasing data privacy regulatory requirements are creating conditions that require serious attention from businesses. IDC expects that by 2023, 102.6 zettabytes of new data to be created every year. These 102.6 zettabytes will most certainly be scattered with personal information of individuals — personal information that will be protected by the California Consumer Privacy Act (CCPA) when it goes into effect on January 1st, 2020.

Following a wave of heightened public awareness about privacy, CCPA endows data subjects with certain rights to their data and imposes penalties and grants private rights of action in the event of non-compliance. California by itself is one of the world's largest economies, so a state law enacted to protect the residents and visitors to the state will have effects far beyond its borders.

CCPA grants rights to California consumers and places requirements on businesses that make more than 50% of their revenue by selling data or have more than $25 million in annual revenue. These rights and requirements include:

  • The right to receive all data a company has on a consumer
  • The right to be forgotten/deletion of personal data
  • The right to prevent the sale of personal data
  • A private right of action related to personal data lost through a data breach

Traditional manual methods of privacy compliance, driven off spreadsheets or simple web portals are no match to the real-time data control & orchestration needs of modern privacy regulations like CCPA.  Following are the issues companies will see with manual or legacy compliance methods:

To comply with modern regulations like CCPA, we need to rethink privacy.  Privacy needs to be operationalized with automated discovery of each individual’s data across structured and unstructured systems and layers of automation and orchestration on top of it to comply with all aspects of global privacy regulations.  A PrivacyOps framework is required, which enables such individual-level data intelligence and layers of automation in a collaborative environment for various stakeholders.

Key requirements of an effective PrivacyOps framework are the following:

  • The most foundational element of a PrivacyOps framework is the ability to automatically find personal data about an individual and make it easy for data, privacy and compliance teams to interact with that data.
  • An easy to use, secure platform to engage with individual consumers enabling them to exercise data rights and update the consent
  • Automation of critical privacy compliance requirements, such as DSRs, breach notifications, assessments
  • A comprehensive record of all privacy compliance activities
  • A secure collaboration system among privacy stakeholders to avoid personal data sprawl

Adopting a PrivacyOps framework reduces costs associated with compliance, avoids legal penalties and helps avoid brand damage. For example, automating the DSAR process leveraging continuous real-time data intelligence can dramatically reduce the cost per DSAR, as well as improving accuracy and time to complete. Being able to complete DSARs within the required timeframes at scale avoids penalties and potential lawsuits and builds trust equity with customers. Similarly, breach notifications can be more surgical, leveraging accurate data intelligence to identify only those customers that were impacted – avoiding overly broad notifications that could incur more costs and penalties. And harnessing automated orchestration and data insights for vendor assessments eliminates the back and forth of emailing surveys and provides accurate data with less operational effort.

Data privacy regulations create a prime opportunity to revamp your data organization and integrations and create an integrated enterprise. Real-time compliance should be a goal, not just with DSARs, but also across as many regulatory processes as possible.

Next Steps

Share this

Our Videos

View More
2:56

China’s PIPL

China has drafted its new data protection law, Personal Information Protection Law (PIPL) that will strengthen the regulatory framework for privacy and data protection in China.

Learn More
View More
3:03

South Africa’s POPIA

The video gives an overview of South Africa's Protection of Personal Information Act (POPIA).

Learn More
privacy policy and notice management View More
02:26

Dynamic Privacy Policies & Notices

Automatically Update & Refresh Your Policies and Notices

Learn More
View More
02:37

Universal Consent & Preference Management

Simplify and automate universal consent management

Learn More
View More
01:53

Cookie Consent Management

Automate and manage the entire consent life cycle with efficiency for various cookie compliance regulations around the world.

Learn More
View More
3:06

Sensitive Data Intelligence

Discover granular insights into all aspects of your privacy and security functions while reducing security risks and lowering the overall costs

Learn More