automation
play

Automation Tony Berman: tberman@truste.com 1 What I will Cover - PowerPoint PPT Presentation

Privacy Assessment Automation Tony Berman: tberman@truste.com 1 What I will Cover Assessment landscape What is Data Privacy Management Adding Automating Data Privacy Management 2 Some reasons we assess: 3 The Privacy Assessment


  1. Privacy Assessment Automation Tony Berman: tberman@truste.com 1

  2. What I will Cover • Assessment landscape • What is Data Privacy Management • Adding Automating Data Privacy Management 2

  3. Some reasons we assess: 3

  4. The Privacy Assessment Landscape Based on Privacy Assessment Benchmarking Study Average PIA takes 28 days to Majority of assessment work complete is done in-house Email, spreadsheets and internally Average company does developed tools most commonly used 59 PIAs per year Response and analysis Budget and time inhibiting driving length assessments more assessments 4

  5. Data Privacy Management Platform The DPM Platform Data A comprehensive data Discovery privacy management platform allows an organization to build an efficient, collaborative enterprise data privacy Compliance management program Assessments Solutions across privacy, IT, DPM operations and legal domains. Platform Program Risk Mgmt Analytics 5

  6. Typical “Manual” Assesssment flow 6

  7. More Automated Approach to Assessments 7

  8. What are companies looking for from automation Automated assessment and analysis Customization of assessment logic and workflow Remediation action plans Centralized system of record PbD Configurable rules engine Risk Identification Program Metrics and Management 8

  9. Programming Rules Indicate the answer that is either compliant or expected Provide recommendations to include in report based on non-compliant / unexpected response 9

  10. Analysis and Review Items of concern are flagged with drill down into recommended remediation 10

  11. Privacy Program Management  Program Metrics  Trending Analysis  Risk Indicator  Task Management 11

  12. Thank you! 12

Recommend


More recommend