Cryptolab said on May 28 it held a Cryptolab X KT joint research and development agreement ceremony with KT and will begin developing a medical-focused multimodal agentic AI solution based on AI security technology.

The companies aim to build a medical-focused AI infrastructure that allows AI agents to analyse and infer without exposing patient data externally by combining KT's security cloud infrastructure with Cryptolab's homomorphic encryption-based generative AI security middleware.

They plan to develop a multimodal AI agent to support medical institutions' pre-review work for insurance claims based on the infrastructure.

Cryptolab, an encrypted AI company founded in 2018 by Cheon Jung-hee (천정희), a professor at Seoul National University, has developed its own homomorphic encryption library, HEaaN, and AI data security solutions based on homomorphic encryption technology that enables AI training, inference and data analysis without decrypting data. It has continued technology verification in areas requiring a high level of security, such as defence and national security, and has recently expanded its scope to multimodal data such as video and images.

The company said it expects the joint development with KT to be an opportunity to expand Cryptolab's encrypted AI technology into the area of medical data use.

Cheon, Cryptolab's chief executive, said, "We will present an encrypted AI infrastructure that improves AI usability and work efficiency in medical settings while protecting sensitive medical data."

Park Jae-hyung (박재형), head of KT's Frontier AI Lab, said, "For AI to create real value in the medical field, data security and trust must be prerequisites." He said, "By combining KT AX platform capabilities with Cryptolab's homomorphic encryption AI technology, we will implement industry-specific AI that medical institutions can use with confidence."