AI-Driven, Post-Quantum Data Privacy
Webinar Recordings:
Recordings will be available exclusively to ILP members. To learn more about becoming a member, click here.
As artificial intelligence reshapes industries and quantum computing looms on the horizon, companies face a critical challenge: extracting insights from sensitive data while ensuring it remains secure, compliant, and future-ready. A powerful new frontier is emerging, where AI converges with post-quantum cryptography, fully homomorphic encryption (FHE), and zero-knowledge proofs to enable secure, high-value collaboration across organizations and borders.
This webinar highlights breakthrough work at this convergence point, featuring a research collaboration between MIT researcher Daniel Aronoff and SCBX, one of Southeast Asia’s most innovative, tech-forward financial institutions. They will be joined by MIT cryptography expert and Zcash co-inventor Madars Virza, who will unpack the technologies making this shift possible.
You will also hear directly from SCBX leaders Nut Chukamphaeng and Tutanon Sinthuprasith, who will share how their organization is applying these advanced tools to enable collaborative, AI-driven credit scoring while meeting the highest standards of security and privacy. The session will feature insights from their recent research paper:
“An AI-Driven Post-Quantum Cryptographically Secure Workflow for Collaborative Credit Scoring.”
The hour will conclude with lightning talks from two emerging MIT-connected startups, each presenting bold new solutions for secure data collaboration and encrypted computation—technologies with game-changing potential.
This session is designed for innovation executives, security strategists, and technology leaders preparing their institutions for the AI-powered, post-quantum era.
Registration Fee: ILP Member: Complimentary General Public: $250 Current MIT Faculty/Staff/Student: Complimentary
Before MIT, Jim was the assistant dean of research business development at the UMass Amherst College of Information and Computer Sciences. Jim founded, built, and sold multiple technology companies in fintech and online media. He has bootstrapped startups and closed venture capital, angel, and private equity funding rounds. Jim also served as the Chief Operating Officer of a public company and a subsidiary of Pitney Bowes. He began his career at AT&T as a software developer, hardware engineer, and national account manager. Jim has authored patents and wrote one of the first books on Java programming. Out of all the roles he's held, Jim's favorite job title by far is dedicated dad of four. He earned a BS from Manhattan College and an MBA with concentrations in finance and international business from New York University.
Research Affiliate, MIT Department of Economics
Daniel Aronoff is a Research Scientist at the MIT Media Lab. He has published two peer-reviewed books on the economic foundations of the 2008 global financial crisis. His research on digital currencies is focused on two areas. One area is game theoretic analysis of the consensus protocols that underlie cryptocurrencies and the design of new protocols to improve security. The other area is the design of smart contracts to improve the performance of financial markets in environments where money and securities are appended to distributed ledgers. Daniel received his BSc in Philosophy and Economics with first-class honors from the London School of Economics and his PhD in Economics from MIT.
Madars Virza is a research scientist at the MIT Media Lab’s Digital Currency Initiative, specializing in cryptocurrencies and privacy technologies. He is a co-inventor of Zerocash and a co-founder of Zcash, work that helped pioneer zkSNARKs (zero-knowledge proofs) for secure, private digital payments. Virza was a primary author of libsnark, a leading library for zero-knowledge proofs, and earned his Ph.D. in Computer Science from MIT, where his widely recognized thesis focused on these cryptographic tools. His influential research, including the award-winning Zerocash protocol, has had a major impact on privacy and digital currency systems.
Madars Virza and Daniel Aronoff will discuss how AI and post-quantum cryptography intersect, focusing on tools like fully homomorphic encryption (FHE) and zero-knowledge proofs (ZKPs). Their talk will show how these methods enable confidential data analysis and verification without exposing sensitive information, offering strong privacy protections that remain secure against quantum attacks.
Nut Chukamphaeng is the Senior AI Researcher at SCBX. He is a prominent AI scientist who held the title of Master AI Scientist at DataX, where he specialized in developing advanced AI-driven solutions for the financial services sector. At DataX, he led projects leveraging technologies like federated learning to revolutionize applications in fraud detection and targeted marketing, and played a key role in the SCBX reputation risk management system, employing techniques such as sentiment analysis for actionable business insights.
Chukamphaeng has a background in data science and machine learning, having previously worked at Agoda and Scymind, and holds a Bachelor’s in Data Science & Business Analytics from King Mongkut’s Institute of Technology Ladkrabang. His work at DataX earned international recognition, including representing the team at the International Finance Awards 2024, where DataX was honored as the Most Innovative New Data Infrastructure and AI Solutions Provider in Thailand. In addition to his technical achievements, Chukamphaeng is recognized for sharing his expertise at major industry events such as Microsoft Build: AI Day and the Marketing Oops! Summit in Thailand.
Tutanon Sinthuprasith, Ph.D., is the Head of R&D of SCBX in Bangkok, specializing in financial technology and data science leadership. He has extensive experience in data innovation within the banking sector, currently holding roles including Director of Business/Data Innovation at Infinitas by Krungthai and Vice President of the Data Innovation Team at Krung Thai Bank. Tutanon earned his Ph.D. in Elementary Particle Physics from Brown University, and his career also includes postdoctoral research in physics and prominent roles at international research institutions like CERN and Fermilab. At SCBX, he leads AI and innovation initiatives, contributing to advanced AI deployments and the strategic exploration of autonomous agents and enterprise AI applications. He is recognized for driving technological disruption and knowledge dissemination in AI across commercial sectors in Thailand.
Nut Chukamphaeng and Tutanon Sinthuprasith will share how SCBX is applying advanced cryptographic tools to enable secure, AI-driven collaboration across organizational boundaries. They will highlight deployment insights, strategic considerations, and real-world use cases for post-quantum privacy, showing how these methods protect sensitive data while supporting robust analytics. The session concludes with key lessons for institutions preparing to operate in a quantum-secure future.
Founder and CEO, AltaStata
Serge Vilvovsky is the founder of AltaStata, a company that provides a unique, patented, quantum-safe encryption approach to data security for AI. He spent eight years at MIT Lincoln Laboratory, conducting cybersecurity research funded by the DoD. Before that, Serge worked for several companies in the U.S. and Israel, including Sun Microsystems, Cisco, and multiple startups. Most recently, he led the cloud security risk group at Capital One. Serge is a member of the MIT Sloan School of Management Cybersecurity Consortium and has been a guest speaker at MIT cybersecurity classes and conferences.
Co-founder, Tinfoil
Jules Drean is one of the co-founders of Tinfoil. He earned his Ph.D. from MIT, researching the intersection of secure hardware and cryptography. During his doctorate he worked with Intel, NVIDIA, and Microsoft Research on the secure hardware enclave technologies that now power Tinfoil’s secure‑AI platform.