As artificial intelligence reshapes financial services and quantum computing looms on the horizon, financial institutions face a double bind: how to extract insight from sensitive data while ensuring it remains secure, compliant, and future-proof. 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.
In this webinar, we highlight breakthrough work at this convergence point, featuring a research collaboration between MIT researcher Daniel Aronoff and SCBX, one of Southeast Asia’s most innovative and tech-forward financial institutions. They are joined by MIT cryptography expert and co-inventor of Zcash, Madars Virza, to unpack the technologies making this shift possible.
You’ll also hear firsthand from SCBX leaders Nut Chukamphaeng and Tutanon Sinthuprasith, who will share how their organization is applying these advanced tools to enable collaborative, AI-powered 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 concludes with lightning talks from two emerging MIT-connected startups, each offering bold new solutions for secure data collaboration and encrypted computation, technologies with game-changing potential for global finance.
This session is designed for innovation executives, security strategists, and technology leaders preparing their institutions for the post-quantum, AI-powered era.
Registration Questions: ocrevents@mit.edu
