According to Adrienne Youngman, CEO of the Partisia Blockchain Foundation, the platform's unparalleled depth of experience and provenance make it uniquely positioned to tackle the issue of data privacy in public blockchains. For years, public blockchains have been vulnerable to privacy breaches, causing institutions to hesitate in adopting the technology to solve real-world problems due to the exposure of sensitive information. Earlier this year, Arkham's CEO, Miguel Morel, noted that publicly available blockchains are the least suitable means of maintaining private information. Partisia claims to offer complete data privacy through its secure, interoperable token and data bridge, leveraging advanced multiparty computation to bring privacy to public blockchains and facilitate complex use cases.
The platform's origins, dating back 36 years, and its founding by Danish cryptographer Ivan Damgård, who co-authored the first paper on multiparty computation and co-invented the Merkle-Damgård construction, contribute to its unique position. Partisia has applied MPC to solutions for governments and corporations before integrating it with blockchain for private deployments.
Youngman stated that Partisia was established to address the challenge of enabling collaboration on sensitive data without compromising privacy, and its blockchain draws on decades of cryptographic expertise to build solutions that overcome barriers to real-world adoption and create new business models, giving individuals and enterprises unprecedented control over their data. With a proven track record of over 16 years, including collaborations with the Danish health authorities, Bosch, and the Red Cross, Partisia blockchain has demonstrated its ability to securely manage sensitive data.
The platform's use of multiparty computation, a cryptographic technique that secures secrets by sharing them among multiple parties, increases security and offers more composability than zero-knowledge proofs, enabling more complex queries and making it possible to run complex use cases.