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.
Explore this serviceAI Governance / Monitoring and enforcement evidenceSee the decision.
See the decision.
Understand the control.
Make connected AI activity reviewable. Use request traces and policy outcomes from the governance plane to understand how configured controls behave in everyday work.
Who it is for
A practical starting point.
AI operations, security, risk, and compliance teams responsible for ongoing oversight.
The challenge
A written policy does not show how it behaved on a request. Your owners need a practical way to inspect decisions, investigate unexpected outcomes, and decide what needs to change.
Inside the engagement
What we work on together.
01
Define the review questions
Agree what each stakeholder needs to understand: the workflow involved, the applicable policy, its outcome, and where a request needs investigation.
02
Inspect enforcement outcomes
Use available traces and recorded decisions to examine how requests were handled. Review examples with the workflow owner so the technical result is interpreted in business context.
03
Establish review routines
Define who reviews outcomes, how issues are escalated, and when policies should be reassessed. Keep monitoring connected to people who can act on the findings.
04
Support evidence reviews
Organize the available enforcement records for internal control reviews. Clarify what the evidence demonstrates and which wider organizational controls need separate assessment.
Practical outputs
Make progress tangible.
We agree the scope and outputs around your starting point. A typical engagement can include:
- A monitoring scope and named reviewers
- A repeatable request-investigation walkthrough
- An escalation and policy-review routine
- An agreed evidence-review checklist
In context
Example: investigating an unexpected block
A team reports that a legitimate request was blocked. The reviewer inspects the recorded policy outcome, checks the intended handling with the owner, and decides whether the input, configuration, or permitted-use guidance needs adjustment.
Getting started
Agree the next useful step.
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.
Runtime evidence supports review; compliance conclusions remain with your organization and its advisers.
Plan this engagementExplore AI Governance
Go deeper into the services.
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.
Explore this serviceGovernance 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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