DPO and Privacy Services

Phenomenati's DPO services offer comprehensive support for organizations seeking to strengthen their data privacy governance and regulatory compliance frameworks. With each DPO engagement, organizations gain expert guidance on privacy regulations like GDPR, CCPA, and HIPAA, ensuring robust data governance, policy development, risk assessments, and continuous monitoring to mitigate privacy risks.

Phenomenati's DPO services are delivered by our team of IAPP Certified Information Privacy Management (CIPM) Professionals, and are designed to provide strategic guidance and operational support to organizations of all sizes, ensuring they comply with relevant privacy obligations, and identify and manage privacy risks effectively.

Phenomenati Privacy engagements assist clients in designing and implementing robust Privacy Governance frameworks that encompass regulatory compliance, ethical guidelines, and risk management practices. 

Privacy Governance Frameworks leveraged include:

• NIST Privacy Framework – Voluntary framework from the National Institute of Standards and Technology to help organizations manage privacy risk.
• ISO/IEC 27701 – International standard for Privacy Information Management Systems (PIMS), extending ISO/IEC 27001 and ISO/IEC 27002.
• ISO/IEC 31700 – Emerging standard focused on privacy-by-design for consumer goods and services.
• BS 10012 – British standard for personal information management systems aligned with GDPR.
• AICPA’s Generally Accepted Privacy Principles (GAPP) – Framework outlining principles for privacy risk management.
• COBIT (Control Objectives for Information and Related Technologies) – IT governance framework that includes privacy and data security components.
• IAB’s TCF (Transparency and Consent Framework) – Developed by the Interactive Advertising Bureau to help digital advertisers comply with privacy laws.
• AI/ML-Specific Privacy Frameworks – Frameworks such as IBM’s AI Privacy Governance and Microsoft’s Responsible AI, for managing privacy in artificial intelligence and machine learning.
• Data Ethics Frameworks – Guidelines like the European Commission’s Ethical Guidelines for Trustworthy AI, promoting ethical data processing.
• Zero Trust Privacy Models – Frameworks that apply zero-trust principles to data access and privacy management, focusing on verification and minimal access.
• UN’s Personal Data Protection and Privacy Principles – Global guidelines promoting responsible data practices within the UN system.
• and Phenomenati's own Privacy Data Lifecycle (privacydatalifecycle.com) – Lifecycle-based privacy framework focusing on protection from collection to disposal, with privacy-by-design and by-default principles.

Phenomenati's Privacy Operations services offer end-to-end solutions to operationalize privacy compliance, streamline processes, and mitigate data privacy risks across the enterprise. 

These services establish a robust Privacy Operations framework grounded in the principles of Data Governance and Phenomenati's Data Privacy Lifecycle. Engagement typically include creating and implementing privacy policies, conducting privacy impact assessments (PIAs), formalizing procedures for data subject access requests (DSARs), and creating efficient workflows for consent management, data retention, and secure data disposal. 

By leveraging automation and monitoring tools to support formal Privacy Operations, organizations can enforce privacy policies and maintain compliance with regulations like GDPR, CCPA, and HIPAA, while embedding rigorous Data Governance practices to protect sensitive data throughout its lifecycle. This approach enables businesses to handle privacy demands effectively, reduce administrative burdens, and build trust with customers, regulators, and stakeholders.