The rise of prolific data breaches, coupled with the maturation of robust regulatory legislation, has led to a challenging landscape for businesses and institutions to pool their collective knowledge in a secure, legal fashion. With Vaultree Encrypted Data Sharing (VEDS) we are addressing this gap head on: VEDS allows data to be encrypted under multiple public keys owned by different parties, enabling them to perform collaborative computations and data analysis on the encrypted data while maintaining privacy and confidentiality.
Moreover, with our competitive speeds we can support state-of-the art AI insights, such as facial recognition, natural language processing using transformers and more. In this presentation we will introduce our proprietary FHE technology and the enrichment that VEDS provides, then demonstrate its application with a variety of ML driven use cases: With VEDS, the healthcare industry can securely collaborate on new medical discoveries, competing financial institutions can collectively tackle fraud, and advocacy groups can partner with law enforcement agencies to combat child abuse while respecting victims’ privacy.
Dr. Cathal Smyth
Dr. Cathal Smyth is Lead Data Scientist at Vaultree. His expertise lies at the intersection of Cybersecurity and Machine Learning, and focuses on the development of prototype ML solutions at Vaultree. Prior to joining Vaultree, Cathal worked at Shopify and Royal Bank of Canada, where he led teams in developing ML driven solutions to address fraud and cyber risks. Cathal has a PhD in Quantum Information from the University of Toronto.
Anil Kumar Pradhan
Anil Kumar Pradhan is Head of Cryptography Research at Vaultree. His expertise lies in various areas of cryptography and cybersecurity including Fully Homomorphic Encryption, Post-Quantum Cryptography, Zero-Knowledge Proof & Blockchain. Prior to joining Vaultree, Anil had worked with multiple early stage startups to design novel cybersecurity solutions.
