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The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and mental activity. Created in response to […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
Co-authored by Chris Victory, FPF Intern As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
[…] for thought. FPF moderating the fireside chat at PETs Summit Plenary Session, July 8, 2025 2.2 FPF Members facilitated an engaging PETs Deep Dive Session that explored business use cases for PETs. After the plenary session, FPF APAC teammates Dominic Paulger, Sakshi Shivhare, and Bilal Mohamed facilitated a practical workshop, titled the “PETs Deep […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] regulations. 1. Key Characteristics of a Regulatory Sandbox A regulatory sandbox is an adaptable framework that can allow organizations to test out innovative new products, services, or business models with reduced regulatory requirements. Typically supervised by a regulatory body, these “testbeds” encourage experimentation and innovation in a real-world setting while managing potential risks. The […]
Practical Takeaways from FPF’s Privacy Enhancing Technologies Workshop
[…] companies applied differential privacy techniques to retain information from personal data while complying with legal requirements to delete it. By anonymizing data before deletion, differential privacy allows businesses to generate summaries, trends, and patterns that do not compromise individual privacy. The participants discussed this new technique through the lens of data deletion, and whether […]
Privacy Enhancing Technologies Workshop Proceedings
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 […]
Privacy Enhancing Technologies Workshop Proceedings
[…] organizations extract and retain aggregate-level information while ensuring that individual-level data is permanently erased and regulatory obligations are met. By anonymizing data before deletion, Differential Privacy allows businesses to generate summaries, trends, and patterns that do not compromise individual privacy. When data reaches its scheduled deletion, the organization processes it into Differentially Private flat […]
PETs Use Case: Differential Privacy for End-of-Life Data
[…] and deletes the source data once processed. Differential Privacy’s mathematical guarantees ensure that no individual can be reidentified, enabling organizations to model risk, refine premiums, and maintain business continuity without compromising Privacy. The Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics is supported by the U.S. National Science Foundation under Award #2413978 […]
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 revealing […]