Corporate Privacy Strategy
Phenomenati's Corporate Privacy Strategy services empower organizations to establish a proactive, resilient approach to data privacy across their operations. These engagements help organizations assess privacy risks, align privacy goals with business objectives, and navigate evolving regulatory landscapes like GDPR, CCPA, and HIPAA. By crafting a comprehensive privacy strategy, organizations will ensure that privacy policies, processes, and technologies are integrated seamlessly into the corporate culture and operational model. Services include developing tailored data governance frameworks, conducting privacy impact assessments, implementing risk-based data protection measures, and establishing protocols for incident response and data subject rights. This strategic approach positions organizations to not only achieve compliance but also build trust and competitive advantage through exemplary data stewardship.
Privacy Governance Frameworks
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.
Privacy Engineering
Our Privacy Engineering services provide organizations with expert guidance to embed robust privacy practices into their digital infrastructure and operations, aligning privacy requirements with technical and operational capabilities to meet regulations like GDPR, CCPA, and HIPAA.
Phenomenati staff, including CDPSE-certified data protection engineers, develop privacy-by-design frameworks, implement secure data governance, and integrate privacy controls throughout the System Development Lifecycle (SDLC) to minimize compliance risks. This approach includes data minimization, anonymization, consent management, and access control protocols, enabling organizations to proactively manage data privacy challenges while strengthening data security, mitigating risk, and building consumer trust.
Privacy Operations
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.
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Transform your organization's Privacy compliance journey with confidence and integrity. Trust Phenomenati as your partner in navigating the complexities of Privacy governance.
Empower your organization with expert guidance in Privacy governance and strategy. Contact us today to schedule a consultation and learn more about how our Data Protection Officer (DPO), Privacy Engineering, and Privacy Operations services can accelerate your Privacy initiatives forward, responsibly and reliably.