Our previous module studied how the PrivacyOps platform automates all significant functions needed for privacy compliance in one place. It focuses on operationalizing privacy compliance across the organization efficiently using machine learning, automation, and data intelligence. The organizing principle of the PrivacyOps platform puts the AI-powered Sensitive Data Intelligence at the center of all privacy compliance processes.
In a PrivacyOps platform, System of Automation and Insights uses SDI and robotic automation to quickly uncover several types of PD within petabytes of structured and unstructured data stores. Robotic automation and artificial data intelligence enable organizations to identify personal data, link it to its correct owners, produce People-Data-Graphs, and generate reports of data processing activities. For organizations, up-to-date and real-time security and privacy compliance reports are required for legal and business reasons.
Organizations may need to comply with cybersecurity frameworks such as CIS, NIST, and privacy regulations such as GDPR, HIPAA, CCPA, etc. As evidence of their compliance, organizations need to provide a report of existing security controls and privacy practices. These reports need to accurately show how sensitive data is protected, which can be provided by leveraging a Sensitive Data Intelligence solution.
Also, in a PrivacyOps platform, an organization, with the help of SDI capability, can analyze data risks, detect security and privacy posture of data for various data assets, and implement appropriate security controls relevant to particular datasets and data processing activities. PrivacyOps envisages the use of data intelligence and collaborative portals that automatically extract critical details from assessments such as data store owner name, contact information, retention policy, security measure, sensitive data attributes, data residency, etc.
It allows organizations to track and maintain a clean data catalog of every data asset in their environment for better data privacy compliance. Suppose organizations identify a highly risky data attribute with the help of SDI. In that scenario, they can automatically trigger a response to invite product owners to justify collecting such data or asking for details about the security measures used to protect this data. This process automates many of the organizations’ tasks, reduces data sprawl, and allows organizations to manage data privacy efficiently.