Security and governance built into every agent.
Jinova agents are designed for controlled system access, clear permissions, auditability, and human approval before sensitive actions.
Jinova is designed to help companies put AI to work across business systems without giving AI uncontrolled access to them.
Read-only first
Workflows start by retrieving, summarising and drafting. Write-back and automated actions are enabled deliberately, not by default.
Role-based access
Users should only reach workflows, systems, and data they are authorised to use.
Connector governance
Each connection is scoped, approved and reviewable. Systems are added to a workflow through governed implementations, not open-ended access.
Credential isolation
Credentials are managed by the integration layer and are not exposed directly to the model.
Model isolation
Workflows run through approved AI models with scoped context. A workflow's context stays within its approved boundary and does not carry across into others.
Approved actions
Customer messages, system updates and business-critical outputs are prepared as drafts and require human approval before execution.
Audit trail
Workflow activity, retrieved context, model calls, generated outputs, actions and approvals can be logged for review.
Data minimisation
Jinova should retrieve only the information the approved workflow needs.
Deployment options
Jinova can support managed, customer-controlled, or self-hosted deployment patterns depending on enterprise requirements.
A careful, credible approach to trust.
Jinova does not claim certifications it has not completed, and does not claim partnerships it does not have. Security is treated as a design principle and aligned to each customer’s requirements during assessment, pilot and deployment.
- Designed with security and governance principles in mind.
- Can be aligned to customer security requirements during assessment, pilot and deployment.
- Supports customer-controlled and self-hosted deployment patterns where required.
Show us one workflow that costs your team hours.
We'll map the systems involved, the approval points and the effort it takes today — then show you what a secure AI agent would do differently.
Read-only first. Evidence-based outputs. Human approval before action.