Welcome to DataProbity! We are a trusted boutique privacy consultancy with over 20 years of experience in delivering tailored, privacy governance solutions for organizations navigating the complexities of privacy compliance and risk management in constantly evolving technology ecosystems.
Specializing in privacy frameworks, global regulatory compliance and privacy-centric product design, we bring deep industry knowledge and a proven track record to help businesses develop and implement robust privacy strategies and programs.
Read our insight articles reflecting our extensive experience and thought leadership in addressing emerging challenges in privacy and AI governance. Whether you're looking to enhance your privacy program, mitigate risks, or align with evolving privacy laws or standards, DataProbity is dedicated to providing strategic guidance and resources that empower your organization to achieve privacy compliance and leadership today.
Streamlining Data Deletion Compliance through ISO 27555
Navigating global data deletion laws such as GDPR, CPRA, and LGPD requires organizations to implement precise and enforceable deletion policies. ISO/IEC 27555 outlines a clear methodology to define, document, and execute deletion processes that align with legal mandates while ensuring secure and consistent removal of personal data. By leveraging deletion classes, standard periods, and a risk-based approach, organizations can achieve regulatory compliance and operational effectiveness.
The Growing Patchwork of U.S. Privacy Laws
State-specific privacy laws in the United States are creating a complex and evolving regulatory landscape, with significant variations in requirements across jurisdictions. While some laws, like California's CPRA, set stringent standards, others, such as Utah's UCPA, take a more business-friendly approach. Amid this diversity, common themes like detailed privacy notices, consumer rights, and secure data handling emerge, highlighting the need for unified compliance strategies to navigate both state and potential federal frameworks effectively.
Global Collaborators Draft First Guidelines for EU AI Act
In November 2024, the first draft of the General-Purpose AI Code of Practice establishes comprehensive guidelines specifically for GPAI providers in preparation for their August 2025 compliance deadline under the EU AI Act. Created through collaboration with over 400 global organizations, this Code focuses on critical areas including transparency, copyright rules, risk identification, and risk mitigation frameworks that will govern how general-purpose AI models are developed and deployed in Europe. The Code's 22 detailed measures address crucial concerns from technical documentation to systemic risk assessment.
Differential Privacy in Privacy Operations
Differential privacy addresses the shortcomings of traditional anonymization methods like k-anonymity, l-diversity, and t-closeness by applying statistical noise at the query level to protect against re-identification attacks. It supports secure large-scale data analysis while accommodating diverse operational needs through local and global implementation models. These approaches balance privacy protection and analytical utility, though challenges remain in scenarios requiring precise data fidelity or small datasets.