Drives conversions, and delivers measurable results that contribute to sustainable business.
JLINC is a lightweight API protocol that embeds a verifiable and tamper-evident record of every data interaction in a workflow at runtime. Whether it’s an AI agent, a human operator, or an external system, JLINC ensures data accountability. It is a cryptographically traceable, and auditable infrastructure that protects data against tampering.
Every time data is exchanged between endpoints JLINC creates an identifier using cryptographic keys, which signs the VCA governing the terms for data use. The same keys can also sign standard auth delegation.
JLINC then signs and hashes the data foreach AI workflow interaction in real time, creating signed cryptographic evidence of the chain-of-custody for data provenance.
Today’s enterprise AI is not just built around applications and agents, it’s built around shared enterprise knowledge. Knowledge graphs and context engineering are just some of the tools being used today to drive this collective intelligence.
But this creates a new challenge, since every AI interaction become a data-sharing event, And every data sharing event requires trust to ensure that the right endpoint is accessing the right data for the right reason.
JLINC provides the trust infrastructure that allow enterprise context to be shared with verifiable agreements to drive provenance governance, and auditability.
JLINC contracts can be used for a wide variety of data exchange control and provenance applications across myriad industries.
JLINC’s unique delegated authority for data use is ideal for health and medical use-cases where one party, such as a patient, needs to grant permission to other parties to exchange their data.
The same JLINC “object capabilities” are needed for financial management and compliance scenarios where signed contracts govern data exchange automation.
In supply chain, JLINC auditable signed data provenance across separate federated systems is perfectly suited for managing signed metadata that represents actual goods.
For digital transformation, where existing legal and accounting practices must be represented in a purely digital form, JLINC provides the missing layer needed to automate B2B data exchange.
As AI agents are rapidly being deployed, questions about governance and guard rails are rapidly emerging as the key obstacle, especially where individual personal data is involved.
AI orchestration systems increasingly require both granular control and audit capabilities to meet enterprise standards.
JLINC stands for JSON LD Link Contract – a new standard for signed ‘data contracts’ that automate permissioned control of data – after it is shared.
Data usage permissions can be governed by standard framework agreements that no party can unilaterally change. When an individual or agent chooses to share data with an organization, they can do it in one click using a profile and they can do it in a way that is digitally signed, auditable, verifiable and secure. This provides the ability to power governed networks with guardrails against misuse.
With JLINC, individuals can have fiduciary agents that work on their behalf under signed contractual agreements. These agents conduct signed data transactions on behalf of the individual to ensure that personal data is leveraged by organizations in a transparent way based on the agreed upon terms.
Significant business risk arises from not having a clear view of data, what came in, from where, for what purpose, and on what terms, and most importantly, where did it then go from here.
JLINC enables the automated logging of data lineage and provenance with permissions, which allows data risk to be actively managed.
Compliance with many of today's regulations require an audit trail that shows exactly how that data has been derived.
JLINC automates compliance by logging every data transaction, categorizing it and making that validation available for all relevant parties to inspect should they want or need to do so
Customers need transparency and control of their data to move beyond the technically and legally opaque models for data sharing most widely in use today.
JLINC gives all parties both transparency and control before and after they share their data, thus providing a platform for truly trustworthy data exchange.
