The National DigiFoundry (NDF) Secure Information Sharing Workgroup has unveiled its Industry Guide on Secure Information Sharing Using Web3 Technologies, as reported to Finbold on Tuesday, January 28.
Focusing on decentralization as the key component of secure communication, the guide introduces a number of strategies for dealing with information-sharing issues in sectors like healthcare, finance, and technology.
Publication contributors include Art Seabolt of Constellation Network, Inc., Jaser Akuly of SIMBA Chain, Dr. Dragan Boscovic of Arizona State University, and many others.
Safe Web3 information sharing
DigiFoundry’s new guide is designed for real-world application, offering a blueprint for integrating open standards with decentralized tools such as identity management, key management, storage, and messaging protocols.
Working in unison, these tools create secure and scalable systems that can encrypt both individual and group communication.
Benjamin Diggles, chair of the National DigiFoundry Workgroup and Co-Founder of Constellation Network, stressed the importance of innovation across a number of domains.
The guide thus primarily explores practical applications of Web3 technology, be it protecting patient confidentiality during inter-provider exchanges, enabling secure cross-border transactions, or equipping tech companies with end-to-end encrypted collaboration tools.
As such, it addresses long-standing industry challenges, such as lack of data sovereignty, low interoperability through open standards, and poor scalability.
Kevin Jackson, the program lead for the National DigiFoundry, also emphasized the team’s efforts in decentralized science, climate change, financial product tokenization, and refugee aid.
The benefits of decentralized information sharing
Adopting a decentralized approach to information sharing such as the one proposed by National DigiFoundry removes the need to depend on a single authority.
As blockchain technology and digital assets are reaching maturity for large-scale deployment, the approach outlined in the guide is expected to see large-scale usage.
Moreover, NDF finds that incentivizing data contribution also has the potential to accelerate the development of artificial intelligence (AI) and other data-intensive applications, which could pave the way to more impactful technological breakthroughs.
