JLINC Your Data
AI is moving beyond applications and copilots into autonomous agents that access enterprise data, call tools, interact with other agents and take actions on behalf of people and organizations. Deriving trusted business intelligence from agentic workflows is inherently challenging and relying on AI agents to deliver quality results requires extensive testing, training, re-training, constant monitoring and ultimately, trust.
That changes the trust boundary. JLINC establishes and verifies the relationship between any endpoint and the data, system or agent it is interacting with — including the authority, permissions and policies governing that relationship.
This removes friction for organizations or enterprises that want to activate AI with sensitive or regulated data requiring compliance guardrails to operate, such as financial, PHI, or PII. This is where the traceabilty and auditability of inputs and outputs between AI Agents that JLINC provides become of paramount importance to scale the use of sensitive data safely. And and our ability to connect with back-end auth solutiona coupled with fine grained control, all with a unique cryptographically verifiable audit trail, delivers the tooling for the new AI data governance layer that enterprise needs.
AI governance standards need to move past traditional data goveranance. JLINC provides the AI data governance infrastructure and tooling necessary to actually govern real time AI accessing data, with the flexibility to handle the constantly changing needs of AI workloads.
Most workflows focus only on the initial inputs and outputs, or pure observability tools to monitor data moving across agentic systems. JLINC adds a provable cryptographically signed record of all input and output exchanges across agentic systems to properly trace, and audit critical issues, changes, or misuse.
Using sensitive or regulated data to derive trusted business intelligence requires a reliable enterprise grade compliance framework to satisfy the strictest audits that traditional solutions like log files can no longer support. JLINC allows your company to provide third-party auditors zero-knowledge records that can be leveraged for external validation of data while keeping sensitive data out of the hands of vendors.
In addition to JLINC cryptographic signing of data, signatures are made with a unique key assigned to each system in your AI workflow chain. This means the origin of every set of inputs and outputs is immutable, and can be validated in addition to the integrity of the data exchanged.
We provide many ways to incorporate JLINC into your system. From standardized Docker and Kubernetes deployments to a feature-rich SaaS service, integrating JLINC has never been easier. Lightweight yet powerful.
Langchain is the most downloaded AI orchestration software, used by over a million developers. JLINC now offers Langchain developer tools with automated SaaS payment.
Flowise is the one of most popular no-code AI orchestration environment, and is built on Langchain. JLINC also offers Flowise user modules with automated SaaS payment.
The vCon is a new IETF standard to govern and manage customer conversations, including voice, and transcriptions, chat, bot exchanges, and email,using AI. Strolid developed the vCon and currently sells their implementation to automotive, telecom and health care as Vconic. JLINC is fully integrated into the Strolid / Vconic software to provide the audit assurance needed for consumer trust.
JLINC audits everything within vCon traffic, including whatever AI does to the conversation or whatever the user input may be. This allows for identifying machine or human error, to note which it is, and to enable correction. This provides the guard-rails and is a major selling point.
