Bring security and compliance rules into connected AI workflows. The Ignituz AI Governance Plane evaluates requests before they reach the model, applying the controls configured for that workflow.
Security leaders, AI platform owners, and engineering teams introducing AI into business applications.
Your teams are starting to send business information to AI. You need a defined route for those requests, with controls that can be tested and reviewed.
Identify the applications, assistants, and model connections in scope. Establish which traffic will pass through the governance plane and who owns each integration.
Agree which information may proceed, which detected content should be redacted, and which requests should be blocked. Translate those decisions into supported policy configuration.
Use representative, non-sensitive examples to check expected outcomes. Include permitted requests as well as requests intended to trigger filtering, and review unexpected results.
Connect the agreed workflow, review enforcement outcomes, and refine the configuration with the responsible teams before extending it to other applications.
We agree the scope and outputs around your starting point. A typical engagement can include:
An employee asks an assistant to summarize a document. The connected request passes through the configured policy check before the model is called. Detected information can be handled according to the rule, and the decision is available for review.
Bring a priority workflow and the people who own it. We will review the intended outcome, dependencies, and constraints, then define an initial scope and acceptance criteria.
Coverage applies to connected traffic and configured detectors. Agree detection limits and acceptable handling with your control owners.
Plan this engagementCustomize governance rules to your organization’s internal standards and applicable industry standards. We translate those requirements into a scoped configuration, with rules reflecting the data and working practices of legal, medical, and development teams.
Explore this serviceMake connected AI activity reviewable. Use request traces and policy outcomes from the governance plane to understand how configured controls behave in everyday work.
Explore this servicePut autonomy with accountability into practice. Introduce the AI Governance Plane with a clear scope, accountable owners, and a path from the first connected workflow to broader adoption.
Explore this service