Ignituz Global
Ignituz AI Governance Plane / Autonomy with Accountability

Your AI requests.
Your organization’s rules.

The Ignituz AI Governance Plane filters and monitors AI requests using rules customized to your organization’s internal standards and applicable industry standards, with policies tailored to each team.

Request a governance demoSee the request flow

For AI applications, assistants, and workflows connected through the governance plane.

Governance that acts on AI traffic

Turn policy into
operational control.

Give AI the freedom to work within defined boundaries. Manage connected requests with context-specific rules, monitoring, and accountable owners.

01

Filter requests before AI runs

Evaluate connected requests against configured policies. Allow permitted content, redact detected sensitive information, or block requests that break the rules.

02

Rules tailored to your standards

Customize rules around your internal policies and applicable industry standards. Set an organizational baseline, then adapt it for legal, medical, and development workflows with the relevant owners.

03

Monitor AI activity

Inspect request traces and policy outcomes so security and compliance teams can see how connected AI workflows are being used.

04

Keep evidence of enforcement

Review recorded decisions to understand which policy was applied and what action it took. Use that evidence in internal reviews and compliance processes.

How it works

A policy checkpoint
before the model.

Connect your AI workflows to the governance plane so configured checks run before requests reach the model.

  1. 01 / REQUEST

    Your team’s AI workflow

    A connected application or assistant sends a request.

  2. 02 / GOVERNANCE PLANE

    Check the applicable policy

    The request is evaluated against its configured rules.

    Allow · Redact · Block
  3. 03 / MODEL

    Continue when permitted

    Only permitted content proceeds along the governed path.

Monitoring & evidenceReview the request trace, policy outcome, and enforcement decision.
Different work. Different boundaries.

One organization.
Policies that fit each team.

Start with your internal standards and applicable industry requirements. Shape the rules with your security, compliance, and domain owners.

01 / LEGAL

Protect sensitive case work.

Define what client and case information may be included in AI requests, and where sensitive identifiers need filtering.

  • Client confidentiality requirements
  • Permitted case-data handling
  • Records for internal review
02 / MEDICAL

Set boundaries for health data.

Configure checks around patient identifiers and health-related content to reflect the intended workflow.

  • Sensitive patient information
  • Context-specific request rules
  • Reviewable policy outcomes
03 / DEVELOPMENT

Bring controls to AI-assisted coding.

Define how credentials, internal information, and development context should be handled in connected AI tools.

  • Credential and secret handling
  • Approved development workflows
  • Visibility for engineering owners

Examples describe policy design priorities. Coverage depends on the integrations, rules, and detectors configured for your deployment.

Implementation with Ignituz

Start with a workflow.
Scale the control.

We help translate your internal policies and applicable industry standards into supported rules, connect the workflow, and test the resulting decisions with your teams before extending coverage.

A clear scope from day one.

Agree which applications and request paths are covered, who owns each policy, and how monitoring will be reviewed.

Use the plane’s enforcement evidence to support your compliance work. Compliance decisions remain with your organization and its advisers.

Explore AI Governance

Go deeper into the services.

AI request filtering

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.

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Policies by team and use case

Customize 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.

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Monitoring and enforcement evidence

Make connected AI activity reviewable. Use request traces and policy outcomes from the governance plane to understand how configured controls behave in everyday work.

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Governance rollout and operating model

Put 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.

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See it in your context

Put your AI rules to work.

Talk through a legal, medical, or development workflow with us.

Request a governance demo