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Neural Data State Tracker Chart
[…] uy, se ll, or sh are pers o nal data o f 10 0,0 00 or more Calif o rn ia r e sid ents or ho use ho ld s; OR (iii) d eriv e 50 % or more an nual r e ve nue fr o m se llin g Calif o […]

FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
[…] nor ungoverned, as policymakers are actively working to develop both soft and hard regulations for AI and to clarify how existing data protection laws apply to its use. Josh presented on global AI governance, highlighting the rapid legislative changes in the APAC region over the past six months, and comparing developments in South Korea, […]

Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] that offer participating organizations the opportunity to experiment with emerging technologies within a controlled environment, usually combining regulatory oversight with reduced enforcement. Sandboxes often encourage organizations to use real-world data in novel ways, with companies and regulators learning how new data practices are aligned – or misaligned – with existing governance frameworks. The lessons […]

Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
[…] discussed the benefits related to privacy and broader compliance requirements this technique captures. To learn more about the presentation and discussion, download FPF’s new Issue Brief, PETs Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption. The second PET presentation by Robert Pisarczyk, CEO and Co-Founder of Oblivious, was an overview […]

Privacy Enhancing Technologies Workshop Proceedings
[…] a Privacy Enhancing Technologies (PETs) Workshop in Washington, DC, convening industry, academia, and civil society experts to explore practical applications of PETs. The workshop featured two leading-edge use cases: Mastercard’s cross-border fraud detection system using Fully Homomorphic Encryption (FHE), and Oblivious’s approach to end-of-life data retention via Differential Privacy. Discussions emphasized the growing role […]

Privacy Enhancing Technologies Workshop Proceedings
[…] Technology (PET s) applications. A group of technical, legal, and policy experts from industry, civil society, and academia participated in the workshop, discussing the implications of the use cases. T echnology and policy experts presented several leading PETs use cases, and the group analyzed how PETs work with other privacy protections and discussed how […]

PETs Use Case: Differential Privacy for End-of-Life Data
In this use case, Oblivious partnered with an insurance company to tackle a common tension between data privacy and utility: how to retain meaningful insights from personal data while complying with legal requirements to delete it. By applying Differential Privacy, the organization can preserve actuarial insights without violating global privacy laws, generating differentially private […]

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PETs Use Case_ Differential Privacy for End-of-Life Data
I S SU E BRIE F U .S . PO LIC Y P ETs Use Case : D iff ere ntia l Priv a cy fo r End -o f- L if e Data O rg an iz a tio ns: Obliv io us; unnam ed in su ra n ce co m pan […]

Use Case: Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
Mastercard’s use of Fully Homomorphic Encryption (FHE) demonstrates how Privacy Enhancing Technologies (PETs) can support fraud detection across borders without compromising sensitive data. In this use case, Mastercard collaborated with Singapore’s Infocomm Media Development Authority to pilot a system that allows encrypted International Bank Account Numbers (IBANs) to be checked for fraud risk without […]