GDPR Automation

GDPR compliance for companies with EU customers involves ongoing operational requirements that don't map to point-in-time audits. Consent must be tracked, data subject requests must be fulfilled within 30 days, and privacy impact assessments must be conducted for new processing activities. Manual handling of these requirements doesn't scale and creates compliance risk.

Understanding GDPR's Operational Requirements

GDPR creates specific ongoing obligations that differ from frameworks like SOC 2. Consent management requires tracking valid consent across different processing purposes, making it easy to demonstrate consent was given, and honoring withdrawal of consent promptly. Data subject access requests (DSARs) require identifying where an individual's data resides across your systems, aggregating it, and providing it in a portable format—typically within 30 days. Right to erasure requires identifying and removing an individual's data across your systems, including backups, while navigating exceptions (legal hold, regulatory retention requirements). Privacy impact assessments (PIAs/DPIAs) must be conducted before processing that poses high risk to individuals.

Consent Management Automation

Consent management platforms automate the tracking and enforcement of customer consent across your digital properties. Consent capture embeds consent collection in your websites and applications, with granular control over what purposes require consent and what data processing is based on legitimate interest. Consent storage maintains a complete audit trail of when consent was given, what version of privacy terms was in effect, and what the customer consented to. Preference management gives customers a self-service view of their consent status, allowing them to update preferences without submitting a formal request. Enforcement integration automatically applies consent status to downstream processing—ensuring marketing emails only go to those who consented, analytics only tracks as permitted, and third-party sharing only occurs for stated purposes.

DSAR Automation

DSAR automation significantly reduces the manual effort of fulfilling data subject requests. Data discovery maps where personal data for different individuals resides across your systems—CRM, product databases, support tickets, email systems, backups, and any other repository. This mapping is the foundation for automated DSAR fulfillment. Automated aggregation pulls data from identified systems into a standardized format, creating a complete picture of what data you hold about the individual. Verification and review ensures the requester's identity is verified and that someone reviews the aggregated data before delivery. Secure delivery provides the response in a portable format (typically JSON or PDF) through a secure channel, with documentation of the delivery.

DSAR Workflow Steps

• Request intake and identity verification
• Data mapping across all systems
• Automated data aggregation
• Human review of aggregated data
• Secure response delivery with documentation
• Verification that request is complete

Privacy Impact Assessment Automation

Privacy impact assessments (PIAs) are required before processing that may result in high risk to individuals. Automation streamlines this process. Trigger detection monitors new projects, product changes, or processing activities that may require a PIA, alerting privacy team when assessment may be needed. Questionnaire workflows walk responsible parties through the PIA framework, capturing required information and documenting the assessment. Risk scoring calculates risk levels based on the nature of processing, data sensitivity, and scale, prioritizing high-risk activities. Documentation maintains records of all PIAs conducted, their findings, and any mitigations implemented.

Right to Erasure Automation

The right to erasure (Article 17) is one of GDPR's most complex requirements. Automated erasure workflows help navigate this complexity. Data discovery identifies all locations where an individual's data exists—not just primary systems but backups, analytics platforms, email, and any other repository. Erasure coordination manages the actual deletion across systems, handling different technical implementations of deletion across platforms. Exception handling manages the legal exceptions to erasure: legal obligations to retain data, ongoing legal proceedings, public interest, or establishment of legal claims. Audit trail maintains records of erasure requests, what was erased, from where, and when—for demonstrating compliance to regulators.