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Organizations face a perfect storm as they experience exploding data volumes coupled with increasing data privacy regulatory requirements. Traditional techniques of manual data surveys, data classification and eDiscovery are not well suited to address new privacy regulations such as the California Consumer Privacy Act (CCPA). These new laws demand real-time and precise intelligence about personal data and consent amidst a myriad of IT systems with sufficient context to map such data back to the individual owner.

 

Topics examined:

  • CCPA requirements & how they differ from GDPR
  • Industry trends for DSRs and data growth
  • New techniques for discovering personal data for privacy compliance at scale
  • How a PrivacyOps framework can streamline privacy compliance

About the speakers

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Greg Martin

Greg Martin

Solutions Architect, SECURITI.ai

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Ryan O'Leary

Ryan O'Leary

Senior Research Analyst, IDC Research

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Our Videos

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02:40

An IT Leader’s Perspective on CCPA

Meet Brian Lillie, Former CPO at Equinix as he discusses the potential challenges of CCPA and how the PrivacyOps framework can be the key to unlocking compliance.

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Most Innovative Startup 2020 SECURITI.ai View More
03:42

RSA Innovation Sandbox 2020: SECURITI.ai

Watch the 3-minute pitch presented by Rehan Jalil on SECURITI.ai in the RSAC Sandbox Competition

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CCPA View More
07:10

CCPA Compliance

CCPA protects consumers from mismanagement of their personal data and gives the consumer control over what data is collected, processed, shared or sold.

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2:25

Internal Assessment Automation

Audit once and comply with many regulations. Collaborate and track all internal assessments in one place.

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02:44

QuinStreet Case Study

Learn how Quinstreet uses PRIVACI.ai to simplify data mapping and automate their workflow to process and respond to CCPA requests.

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02:26

People Data Graph Automation

Learn about automatic personal data discovery through structured and unstructured data linking.

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SECURITI.ai Named a Leader in Privacy Management Software by Forrester

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