SECURITY INTELLIGENCE GUIDE · 2026

AI in the Wild

A Security Risk Guide for Small Organizations
Small businesses across every industry face a new and largely invisible security threat from AI. This guide explains the risks — and the practical guardrails that actually work.
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Chapter 1

The AI Risk Landscape

You might not think your 15-person business is an “AI-driven” organization. But your employees disagree.

Right now, across small businesses of every kind, employees are quietly adopting consumer AI tools like ChatGPT, Google Gemini, and Microsoft Copilot to write emails, summarize documents, and draft reports. This is known as “Shadow AI” — and it’s happening inside your organization whether you know about it or not.

What makes small organizations uniquely vulnerable is the illusion of safety. Enterprise corporations have dedicated CISOs building complex guardrails. Small organizations typically rely on trust and common sense.

But when an employee uploads a sensitive business document to a public AI model to “quickly summarize it,” that data leaves your secure perimeter — permanently.

The Regulatory Reality: Uploading Personally Identifiable Information (PII), financial records, or confidential customer data to unsanctioned AI models may violate your industry’s regulations, contractual obligations, or privacy laws. The consequences range from regulatory fines to loss of customer trust. This isn’t just an IT issue — it’s a compliance risk.

Chapter 2

The 5 Biggest AI Security Risks

Unsanctioned AI Tools

Staff signing up for AI browser extensions, meeting note-takers, and email drafters — completely bypassing IT review. These tools often have broad access to email, files, and calendar.

Data Leakage & Training

When employees paste financial data, client records, or strategic plans into free AI tools, they often grant the provider rights to use that data for model training. There is typically no way to retract it.

AI-Powered Phishing

Attackers use AI to craft flawless, personalized messages impersonating your CEO, vendors, or clients. These bypass traditional spam filters and trigger urgent action.

Vendor AI Risk

Your CRM, accounting, and document management platforms are integrating AI without always asking. Your confidential data may be exposed in ways your contracts never anticipated.

Compliance & Copyright Violations

Using AI-generated content without disclosure, surfacing protected data in AI outputs, or violating copyright. In regulated industries, these violations trigger regulatory action and civil liability.

Self-Assessment: How Exposed Is Your Organization?

Check the boxes that apply to your organization to gauge your AI risk exposure.







Chapter 3

6 Practical Guardrails

Acceptable AI Use Policy

Start with a written policy — not a ban. Define what’s allowed, what’s not, and who approves exceptions. Keep it under 2 pages.

Approved Tools List

Curate a list of sanctioned AI tools your organization has reviewed. Where necessary, put Business Associate Agreements or Data Processing Agreements in place.

Enterprise AI Alternatives

Instead of free ChatGPT, provide enterprise-grade tools like Microsoft Copilot or ChatGPT Enterprise where data is excluded from training. Cost: $20–$30/user/month.

Data Classification

Three categories: Public, Internal, Confidential. Simple rule: Confidential data never enters an AI tool, period. This is the single most actionable guardrail.

Security Awareness Training

Your existing training doesn’t cover AI-powered phishing or prompt leakage. Add AI-specific modules to your annual security awareness program.

Vendor AI Assessment

Ask every software vendor at renewal: “How does your product use AI, and how is our data protected?” Vendors who can’t clearly answer are a risk vector.

Chapter 4

Your 30-Day Action Plan

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Week 1–2: Audit & Discover

  • Send anonymous staff survey: what AI tools are employees using?
  • Review firewall and DNS logs for traffic to known AI platforms
  • Compile list of all software vendors; flag any mentioning AI
  • Identify top 3 categories of sensitive data
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Week 3: Draft Policy

  • Draft Acceptable AI Use Policy (keep under 2 pages)
  • Identify 1–2 enterprise AI tools to formally sanction
  • Create simple data classification guide for staff
  • Loop in legal counsel or compliance officer for review
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Week 4: Train & Launch

  • Present policy at all-hands or team meeting
  • Provision access to approved enterprise AI tool
  • Add AI-specific content to security awareness training
  • Establish quarterly review cycle for policy
Need help executing this plan? Great Lakes Computer can run the entire 30-day program for you.

Chapter 5

Questions to Ask
Your IT Team

Use these questions in your next IT review or leadership meeting. If your team can’t answer most of them confidently, it’s time to act.

Don’t have an IT team? Great Lakes Computer is your IT team.

  1. Do we have a written AI acceptable use policy?
  2. What AI tools are employees currently using, and have any been formally approved?
  3. How are we classifying data that goes into AI tools?
  4. Have we updated our security awareness training to cover AI-powered phishing?
  5. Do our vendor contracts address how AI is used on our data?
  6. What is our incident response plan if sensitive data is leaked via an AI tool?
  7. Are we logging or monitoring traffic to consumer AI platforms?
  8. Who is responsible for reviewing and approving new AI tools?

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Concerned about AI risks in your organization?
Great Lakes Computer helps small businesses implement AI guardrails, security policies, and staff training — so you can use AI safely without exposing your business.
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Call (800) 966-4522
Prepared by Great Lakes Computer Corporation in partnership with TPC@Work
© 2026 Great Lakes Computer Corporation. All rights reserved. This guide is provided for educational purposes only and does not constitute legal, regulatory, or professional advice.