Methodology
Process Overview: GDPR Compliance Automation with PrivOps
The PrivOps Matrix serves as the technology foundation for achieving & maintaing GDPR compliance
Who owns GDPR compliance in your organization? Do they have a mandate?
Although some organizations have a mature cross-functional data governance capability, most organizations will need to start with defining a roadmap that details the people, processes, technologies and outcomes required for successfully achieving GDPR compliance.
Finding, classifying and assessing sensitive personal data is an important second step. After this, the real work begins.
It's a multidisciplinary process: for this reason, most organizations radically underestimate the challenge to transform business and IT operations for GDPR compliance.
Data Discovery and Classification
Integration for Data Discovery
Business rules engine for Data Classification
Privacy by Design
Integration with identity management
Integration with service management and monitoring
Pseudonymization and anonymization as a service
Automation
Consent Management
Dynamically filtering data sent to internal and 3rd party data processors
Right to be Forgotten (RTBF)
Data portability
Consent changes
Opt-out of Data Profiling
Subject Access Requests
GDPR Process Receipts (audit)