Technical Implications of the General Data Protection Regulation - PowerPoint PPT Presentation
Technical Implications of the General Data Protection Regulation (GDPR) Jaclyn Tsiang Introduction Redefining personal data Global scope Affects any organization that manages data from EU residents Complying with GDPR
Technical Implications of the General Data Protection Regulation (GDPR) Jaclyn Tsiang
Introduction ● Redefining personal data ● Global scope ○ Affects any organization that manages data from EU residents Complying with GDPR ● ○ Effective May 25, 2018
Before GDPR ● EU Data Protection Directive of 1995 ○ Initial privacy and data protection benchmarks ○ Directive vs. regulation ○ Enforcement differed between EU member states
What GDPR Compliance Means? ● Personal data = any information that relates to an “identifiable natural person” ● Individual is owner, company is custodian ● Right to access, port, rectify and erase data ● Mandatory breach reporting ● Penalties for noncompliance ○ Minor noncompliance issues up to 10 million euros or 2% of global annual turnover ○ Major noncompliance issues up to 20 million euros or 4% of global annual turnover
Effect on system architectures ● Right to erasure, also known as the right to be forgotten ● Constraints on automated decision making ● Data protection impact assessments ● Data protection officers
Right to be forgotten ● User can demand for data to be deleted ● Organization must erase data “without undue delay” ● Challenges ○ Data spread over multiple locations ○ Tracking all data ○ Auditing erasure
Architecting a solution for data erasure ● Must evaluate: ○ What personal data exists ○ Where it is located ○ Where data is managed and processed within organization ○ Who can access it ○ Timestamps of data ○ Whether other data retention regulations apply Solutions containing auditing and erasure functionality: ● ○ Use centralized data management Build individual services if data is distributed across different stores ○
Automated Decision Making ● GDPR prohibits any “decision based solely on automated processing, including profiling” ○ Profiling: “any form of automated processing of personal data consisting of the use of personal data to evaluate certain personal aspects relating to a natural person” ● People should have ability to intervene in decision making ● Data subjects are able to express their point of view and contest decision ● Holds data processors accountable for ensuring transparent and fair algorithms
Data Protection Impact Assessments (DPIAs) and Data Protection Officers (DPOs) ● DPIA: assessment performed to evaluate risks if processing may put individuals’ rights at high risk ● DPO: person appointed to help monitor internal compliance, provide advice on data protection, and communicate with data subjects/supervising authority
Impact on US Companies ● GDPR applies to any company dealing with EU resident data ● No comprehensive national law on personal data in US ○ Only laws that exist address very specific types of personal data like cardholder data and medical data ● Important to understand that Personally Identifiable Information, as defined in US privacy law, is not the same as GDPR’s definition of personal data ● US companies should carefully assess whether GDPR applies to them, and steps needed to be taken to comply
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