Platform

AI Governance Assistant

Ask governance questions, summarize findings, draft controlled workflows, and trigger approval-gated actions, all within your tenant's access scope, with no uncontrolled execution.

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The problem

Most AI tools in security answer questions but cannot act. Most that can act do so without guardrails.

LLMs connected to enterprise systems can retrieve and summarize, but the moment they can execute, change roles, revoke access, trigger workflows, the risk surface expands significantly. Nuxari's AI assistant is designed for the gap between those extremes: it can reason about your governance data, draft structured workflows, and hand them to the approval system, but it cannot execute anything without a human authorizing it first.

Core capabilities

What it does

Tenant-Scoped Answers

Every query the AI assistant answers is scoped to your organization's own governance data. It cannot access other tenant data, external systems, or training-time knowledge that conflicts with your observed state.

·Answers derived from your tenant's findings, events, and access state
·No cross-tenant data access
·Context window scoped to your organization
·Transparent sourcing, answers link to the underlying records

Evidence-Backed Summaries

Ask the assistant to summarize a finding, explain an access review outcome, or describe what happened during a remediation. Summaries are generated from actual event records.

·Summaries link to the underlying evidence records
·Finding explanations include severity reasoning
·Access review outcomes explained in plain language
·Remediation summaries include approval and validation results

Remediation Drafting

Describe what you want to happen, 'revoke contractor access across all systems', and the assistant drafts a structured remediation workflow. The draft requires review and approval before anything executes.

·Natural language to structured workflow translation
·Draft displayed for human review before submission
·Scope explicitly defined in the draft for approver review
·No action taken until approval is granted

Chat-to-Action

Move from a question to a governed action in a single conversation. The assistant drafts the workflow, you review and submit, it routes for approval, and execution follows the authorization.

·Question → draft → review → submit → approve → execute
·Full conversation recorded in audit log
·AI-generated draft clearly labeled in the approval record
·Human approval required at every execution step

Approval Guardrails

The AI assistant cannot bypass the approval system. It can draft and submit workflows, but it cannot approve its own submissions or execute without a completed authorization record.

·AI-submitted workflows go through the same approval chain as manually created ones
·AI cannot self-approve
·Separation of concern between submission and authorization
·Audit log marks AI-submitted workflows with that context

Safe Action Recommendations

When asked for a recommendation, the assistant explains what it recommends and why, but frames all recommendations as proposals that need human judgment before they become workflows.

·Recommendations include rationale sourced from governance data
·Recommendations do not auto-submit as workflows
·Risk level of each recommendation explicitly stated
·User decides whether to accept, modify, or reject the recommendation

AI Governance

The AI drafts the workflow and summarizes the finding. The approver decides. Nothing executes without an approval on record.

AI Governance Assistant

Governance operator at a workstation reviewing AI-assisted findings and workflow recommendations

How it works

Step-by-step lifecycle

01
User asks a governance question or describes an intent
The user queries the assistant in natural language, 'Which contractors still have access after their engagement ended?' or 'Help me offboard c.morgan@example.com'.
02
Assistant queries the tenant's governance data
The assistant retrieves relevant records from the organization's own findings, access state, and event history, scoped to the authenticated tenant.
03
Answer or draft is presented for review
For questions, the assistant returns an evidence-backed summary. For actions, it drafts a structured workflow and displays it explicitly for human review.
04
User reviews and optionally submits the draft
The draft shows the exact scope, steps, and affected resources. The user can edit the draft, reject it, or submit it for approval.
05
Approval workflow runs on submission
The submitted workflow enters the standard approval chain. The AI's draft and the human's submission are both captured in the approval record.
06
Execution follows authorization
Only after the approver grants authorization does the workflow execute. The AI assistant played no role in the execution itself.
07
Full conversation is logged
The assistant interaction, question, answer, draft, submission, is recorded in the audit log with the AI attribution clearly marked.

Example scenario

Chat-to-action: offboarding a departing contractor

A manager asks the assistant to help offboard a contractor whose engagement ended. The assistant drafts the workflow; the manager reviews and submits it for IT approval.

Illustrative example. Not real customer data.

Demo · Illustrative only

Input

"Offboard c.morgan@example.com, contract ended"

Assistant action

Draft offboarding workflow generated

Systems in scope

Entra ID, M365, GitHub (auto-detected)

Draft reviewed by

Manager, J. Lira

Submitted for approval

IT Manager, approval requiredPending