The multi-disciplinary practice to automate compliance with privacy regulations. For responsible custodians of people's data.
The teams use automation in all privacy practices that historically have been manual and slow, giving them better real time understanding of privacy issues, readiness and compliance needs. Automation in linking of personal data to its rightful owner and purpose of user consent provides real time view of regulatory risks and prepares teams to respond to data subject requests or notify selected data subjects quickly in case of a data breach.
PrivacyOps brings secure collaboration to bear on sensitive personal data, eliminating the need for historical methods of sharing sensitive data and assessments over insecure communication channels for compliance and review purposes. Sharing of personal data across communication channels like email and generic messaging creates further PI sprawl.
Teams use orchestration and robotic automation to fulfill data subject requests reliably at a much faster pace, reducing cost and compliance risk.
With PrivacyOps, multiple teams collaborate and make full use of automation and orchestration to understand privacy posture, eliminate privacy risks and fulfill privacy obligations swiftly. It engenders trust in the organization and makes it easier to have confidence in.
Following are some of the critical elements required for adopting a PrivacyOps model.