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On April 25, 2025, the Future of Privacy Forum and the Mozilla Foundation co-hosted 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 […]

[…] protections and discussed how PETs may intersect with data protection rules. K ey poin ts ● The lack of clear regulatory guidance forces organizations to rely on best practices, trust, and adherence to local laws between/across jurisdictions; ● No one PET or technology can address every risk or threat; in many cases, multiple PET […]

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 statistical […]

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[…] ctio n . T ra d e-o ffs : A s note d above , th e fu ndam enta l tr a deo ff here is best se en in sh a des of gra y: wit h dif f e re ntia lly priv a te d ata re te ntio n, […]

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 revealing […]

[…] you nor to request to connect to you unless you affirmatively choose to change the default. We have tried to set the defaults in a manner that best respects the nature of the relationships within our community, but we encourage you to adjust the preferences to your satisfaction. Privacy Setting Options: Only Me – […]

[…] narrowly on specific types of health data individually or in tandem with AI or other technologies. For example, mental health chatbots (Utah HB452), reproductive health data ( Virginia SB754), or AI disclosures in clinical settings (California AB3030). Other bills and laws have broad definitions that include location, movement, and voice data, all common types […]

[…] also prescribes skill requirements. A DPO must have knowledge of data protection law and technology, an understanding of the business’s data processing operations, and the ability to promote a data protection culture with integrity. The required skill level depends on the complexity, scale, sensitivity and level of protection required for the data being processed.  […]

[…] “reasonably necessary in relation to the purposes for which such sensitive data are processed,” in addition to getting consent for processing. This change may be trivial at best and circular at worst, depending on whether one believes that it is even possible to process data for a purpose that is not reasonably necessary to […]