So who or what is JLINC?

The JLINC Proposition (Supporting Technology)

JLINC, serves as the interoperable zero-knowledge data audit protocol. It functions as the underlying technology layer that supports the auditable and contract-based data exchange required by the IEEE P7012 standard.

Mechanism and Compliance:

  • JLINC automates the permissioned control of data after it is shared, leveraging signed 'data contracts'.

  • It addresses the IEEE P7012 (“MyTerms”) requirement for an auditable record by providing Data Provenance as a Service. Every data action is traceable, auditable, and protected against tampering, establishing enterprise-grade compliance.

  • JLINC adds an immutable, cryptographically signed knowledge chain that ensures every data hand-off across any system is provable, preventing traditional logs from being edited or lost.

  • It allows individuals or agents to share data in "one click" in a way that is digitally signed, auditable, verifiable, and secure.

  • JLINC enables individuals to have fiduciary agents that work on their behalf, conducting signed data transactions based on the agreed-upon contractual terms. This automated logging and lineage tracking reduces data risk and demonstrates compliance.

JLINC and DataPal

The DataPal Proposition (Go-to-Market Solution)

DataPal is the public proposition that aims to revolutionise how Individuals, Organisations, and Applications exchange, control, and benefit from personal information. It delivers the promise of the IEEE P7012 (“MyTerms”) framework by allowing users to manage data "on your terms".

Addressing Identified Problems

DataPal seeks to solve several critical issues that the contractual standard (P7012) and the auditable protocol (JLINC) are designed to counter:

  1. Unbalanced Control of Data: DataPal combats the current paradigm where organisations set the terms and individuals merely "check the box". It ensures that individuals can manage, share, and benefit from their personal data all under their control.

  2. Loss of Trust and Compliance Burden: By utilising the JLINC protocol, DataPal allows organisations to achieve data collaboration without risk, securely federating, analysing, and activating data. The automated compliance and auditable lineage reduces the cost and workload burden on organisations.

  3. Data Not Truly Portable: DataPal provides a solution to the difficulty individuals typically face when trying to move their data from one organisation to another.

In summary, DataPal, therefore, acts as the conduit for smart data services, AI agents, and developers to build on "data freedom", leveraging the underlying, secure, and auditable contractual framework provided by the JLINC protocol and adhering to the specifications of the IEEE P7012 (“MyTerms”) standard.

For more on JLINC visit their website here.