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AI governance services

Your team is already using AI. Put guardrails on it.

Employees are pasting customer data, pricing, and contracts into free AI tools today, usually with good intentions. NBIT gives you a practical AI governance program: an acceptable use policy people will actually follow, a list of approved tools, clear rules for sensitive data, and the technical controls to back them up, run by the team that already manages your security.

Free template

Get our AI acceptable use policy template.

A one-page Word template your team can adopt or adapt immediately, written in plain language so employees actually read it.

  • Approved AI tools and how to request new ones
  • Prohibited uses and data that must never be entered into AI
  • Data handling rules and when AI output needs human review
  • Accountability, ownership, and acknowledgment

Send me the template

What we do

AI governance, defined.

AI governance

AI governance is the set of policies, processes, and technical controls that decide which AI tools your business allows, what data can go into them, and who is accountable for how they are used.

AI acceptable use policy

An AI acceptable use policy is a plain-language document that tells employees which AI tools are approved, what information must never be entered into them, when output needs human review, and what happens when the rules are broken.

Shadow AI

Shadow AI is the use of AI tools without IT's knowledge or approval, such as free chatbots, browser extensions, or AI features inside other apps. It is the most common way sensitive business data leaves an organization today.

AI risk assessment

An AI risk assessment inventories how AI is being used, what data is exposed, what the vendors' terms allow, and which customer, regulatory, or insurance requirements apply, then ranks the gaps by risk.

NIST AI Risk Management Framework

The NIST AI Risk Management Framework is a voluntary U.S. framework organized around four functions, Govern, Map, Measure, and Manage. It gives businesses a structured, defensible way to manage AI risk without inventing their own approach.

Data loss prevention for AI

Data loss prevention for AI uses tools such as Microsoft Purview and Defender for Cloud Apps to warn or block when sensitive information is headed to an unapproved AI service.

The problem

A policy nobody reads is not governance.

Most businesses either ignore AI and hope for the best, or ban it and watch employees use it anyway on personal devices. Neither protects your data. Real governance makes the safe path the easy path, then enforces it.

Shadow AI is already in your business

If you haven't approved an AI tool, your employees have likely picked their own. Without visibility, you can't know what data has already left the building.

Customers and insurers are starting to ask

Security questionnaires, customer audits, and cyber insurance applications increasingly ask how you control AI use. 'We don't have a policy' is becoming a costly answer.

Free tools with unclear data terms

Many free AI tools reserve the right to retain or learn from what users enter. Your pricing, formulas, and customer information deserve better than a terms-of-service gamble.

Policies with no enforcement

A policy emailed once and filed away changes nothing. Governance only works when it is backed by approved alternatives, training, and technical controls.

How we engage

Governance that enables AI instead of blocking it.

We start by finding out how AI is already being used, then put policy, approved tools, and technical controls in place in that order. Scope is set after discovery, based on your licensing and compliance obligations.

  1. Discovery call

    60 minutes, no cost

    We talk through how your teams use AI today, what data you handle, and which customer, regulatory, or insurance requirements you need to meet.

    You leave with: A short list of your biggest AI risks and quickest wins.

  2. AI use discovery

    Find what's already in use

    We identify sanctioned and unsanctioned AI use through your existing security tools where licensed, a short staff survey, and conversations with team leads.

    You leave with: An inventory of the AI tools in use and the data flowing into them.

  3. Policy and approved tools

    Acceptable use policy and tool list

    We draft an AI acceptable use policy tailored to your business and select approved tools that give employees a safe way to get the benefits they're already chasing.

    You leave with: A finished AI acceptable use policy and an approved tool list.

  4. Technical controls

    Enforce what the policy says

    We configure controls in the platforms you already own, such as app restrictions, sensitivity labels, data loss prevention, and conditional access, so the policy is enforced, not just published.

    You leave with: Controls that block risky AI use and allow approved use.

  5. Training and oversight

    Quarterly review

    We train employees on the policy and the approved tools, monitor AI usage, and review new tools and risks with you each quarter as part of ongoing service.

    You leave with: A governance program that keeps up as AI changes.

In practice

What an AI governance program covers.

The core components we put in place, sized to your business and your compliance obligations, and connected to the security controls you already run.

An acceptable use policy people follow

Policy

A short, plain-language policy that tells employees what they can do, not just what they can't, written for your industry and your data.

  • Approved tools and how to request new ones
  • Data that must never be entered into AI
  • When AI output requires human review
  • Clear ownership and consequences

Who it's for: Every business whose employees use AI, which is nearly all of them.

An approved AI tool list

Tools and vendors

A vetted set of AI tools with acceptable data terms, so employees have a safe option instead of a free one.

  • Vendor terms reviewed for data retention and training
  • Enterprise options that keep data inside your control
  • A simple request process for new tools
  • Periodic review as tools and terms change

Who it's for: Teams already using AI on their own.

Rules for sensitive data

Data classification

Clear categories for confidential information, with labels and controls that travel with the data, so AI tools and people handle it correctly.

  • Sensitivity labels for financial, HR, and customer data
  • Protection for formulas, pricing, and trade secrets
  • Rules aligned to customer contracts and regulations
  • Controls that apply across email, files, and chat

Who it's for: Businesses with confidential data, intellectual property, or contractual obligations.

Visibility into AI usage

Monitoring

Reporting on which AI services are being used and by whom, so decisions are based on facts instead of assumptions.

  • Discovery of AI apps in use across the business
  • Alerts on risky or unapproved services
  • Usage trends for approved tools
  • Regular reporting to leadership

Who it's for: Leaders who need to answer 'how are we using AI?' with confidence.

Answers for customers, auditors, and insurers

Compliance and questionnaires

Documented policies and controls you can point to when a customer audit, security questionnaire, or insurance renewal asks about AI.

  • Policy and control documentation ready to share
  • Alignment with the NIST AI Risk Management Framework
  • Mapping to existing security and compliance programs
  • Support completing AI sections of questionnaires

Who it's for: Suppliers to larger customers and businesses facing audits or insurance renewals.

Guardrails for AI agents and automations

AI agents

Rules for what AI agents and automations can access and do on their own, with logging and human approval where it matters.

  • Least-privilege access for every agent
  • Human approval for high-impact actions
  • Activity logging and review
  • Clear ownership for each agent and automation

Who it's for: Businesses deploying Copilot agents or AI automation.

Why NBIT

We enforce governance with the tools that already protect your business.

Policy without enforcement is a document. Because we already manage your identity, devices, email, and data protection, we can turn your AI rules into controls that actually work.

  • Policy backed by technical controls We manage your identity, devices, email, and data protection already, so your AI rules become enforced controls instead of a document in a shared drive.
  • Security leadership you can point to Our program is led by a CISSP who has co-authored three cybersecurity books for business leaders, so your governance holds up to customer and auditor scrutiny.
  • Practical, not paralyzing Our goal is safe adoption, not a ban. Approved tools and clear rules let your team use AI productively without putting data at risk.
  • One team for IT, security, and AI Governance, Copilot rollout, and AI automation all come from the same team that runs your IT, so nothing falls between vendors.

Common questions

AI governance, answered.

What is AI governance?
AI governance is the combination of policies, processes, and technical controls that determine which AI tools a business allows, what data can be used with them, and who is accountable. Good governance enables safe AI use rather than simply blocking it.
What should an AI acceptable use policy include?
Approved tools and how to request new ones, data that must never be entered into AI, when AI output requires human review, who owns the policy, and consequences for violations. It should be short and written in plain language so employees actually read it.
Do small and mid-sized businesses really need AI governance?
Yes. Smaller businesses face the same data exposure from free AI tools as large enterprises, often with fewer controls in place. A right-sized policy, approved tools, and a few technical controls go a long way.
How do you detect shadow AI?
With the security tools you may already license, such as Microsoft Defender for Cloud Apps, plus a short employee survey and conversations with team leads. The goal is an honest inventory, not catching people out.
Does AI governance mean banning ChatGPT?
No. Bans tend to push AI use onto personal devices where you have no visibility. We help you choose approved tools with acceptable data terms and steer employees toward them.
Which frameworks do you align to?
We align AI governance to the NIST AI Risk Management Framework and connect it to the security frameworks you already follow, such as the NIST Cybersecurity Framework or CMMC where applicable.
How long does it take to put AI governance in place?
A policy and approved tool list typically come first, within the opening weeks of an engagement. Technical controls depend on your licensing and environment, and we give you a realistic timeline after discovery.
Do you provide an AI acceptable use policy template?
Yes. You can download our AI acceptable use policy template free on this page. In a governance engagement, we tailor it to your industry, your data, and your customers' requirements.

Know where your data is going.

A 60-minute call to review how AI is being used in your business today and which guardrails you need first. You leave with a clear starting point, not a sales pitch.