Your Shadow AI Problem Has a Name. And Now It Has a Score.
A 10-minute CMMC-aligned AI Risk X-Ray for SMBs who are done pretending they have this under control.
Nobody is flying this plane
Right now, somebody at your company is pasting a customer contract into ChatGPT to “summarize the key terms.” Somebody else just asked Copilot to draft a reply to a vendor — and the reply quoted a line from an internal doc they didn’t mean to share. A third employee installed a browser extension that promises “AI meeting notes” and quietly streams your entire Zoom call to a server you’ve never heard of.
You probably don’t know any of their names. You probably don’t have a policy that says they can’t. And if a client emailed you today asking “How are you using AI safely with our data?” — you’d stall, draft something vague, and hope they don’t press.
This is the AI risk posture of most SMBs in 2026. Not because they’re negligent. Because they’re busy, the tools are free, the guidance is overwhelming, and the frameworks everyone points at (NIST AI RMF, ISO 42001, the EU AI Act) were written for companies with a governance team and a legal budget you don’t have.
The result: shadow AI, quietly compounding. Every week you don’t address it, the blast radius of the eventual incident gets bigger.
We built the AI Risk X-Ray to fix that — specifically for SMBs who want an honest answer in 10 minutes, not a six-week consulting engagement.
What the AI Risk X-Ray actually does
It’s a free, self-service assessment. Ten questions. Each one scored on the CMMC 5-level maturity scale (Initial → Managed → Defined → Measured → Optimizing). No fluff, no framework jargon, no pretending you need to “align with ISO 42001 Annex A” before you can answer a client’s basic AI question.
You walk through ten risk domains that cover the immediate, day-to-day AI exposure every SMB has right now:
- Shadow AI Inventory — Do you actually know which AI tools your employees are using? Not just the ones you approved. The ones they’re using.
- Acceptable Use Policy — Is there a written AI policy staff have read, or did you send a Slack message in 2024 and call it done?
- Data Leakage Controls — Are employees trained on what data must never be pasted into public AI tools? (Hint: customer PII, contracts, source code, credentials — the stuff that gets you sued.)
- Vendor AI Risk — Your CRM, HR platform, and helpdesk have all quietly added AI features. Do you know which of them are processing your data for model training?
- Client / Contract Readiness — Can you answer “how are you using AI safely?” with a documented response, or do you freeze?
- AI Output Review — Is anyone checking the AI-generated emails, code, and contracts before they leave the building?
- Access & Accounts — Are employees on enterprise AI plans with data retention turned off, or on personal free accounts that may be training on your prompts?
- Regulatory Awareness — Colorado AI Act. EU AI Act. California AB 2013. “We’re too small” is no longer a defense.
- Incident Response — If someone leaked sensitive data into an AI tool tomorrow, what happens in the next four hours?
- Accountability — Is there a specific named person responsible for AI risk, or does it live in the gap between IT, legal, and “someone should probably own this”?
That’s it. Ten questions. Nothing esoteric. No 47-page NIST crosswalk.
What you get at the end
Three things land in your browser the moment you finish the assessment:
A maturity score out of 100. Animated ring, big number, tier label — Critical Exposure, High Risk, Moderate, Strong, or Optimized. No hand-waving. Your score is the arithmetic of your answers.
Your top 5 priority gaps. Not all ten. The five lowest-maturity domains, ranked by where you’d get hurt first. Each one ships with a concrete remediation you can execute inside a week — not a framework reference, an actual sentence telling you what to do Monday morning.
A detailed PDF report you can download, forward to your CEO, or attach to the board deck. It includes the executive summary, the top-5 fix list, a full breakdown of all ten domains, and a 30/60/90-day plan that walks you from “we have nothing” to “we can pass a client’s AI due-diligence questionnaire.”
Ten minutes. A number you can defend. A list of fixes you can actually do.
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Who this is for (and who it isn’t)
This is for you if:
- You’re at an SMB (roughly 50 to 1500 employees) using AI tools with informal or zero governance.
- You’re in B2B SaaS, financial services, healthcare, legal, or professional services — any sector where client data sensitivity is high and AI questions are already arriving in RFPs.
- Your CEO asked “are we safe with AI?” last quarter and you said “yeah, we’re fine” and have been vaguely uncomfortable about it ever since.
- A client, prospect, or investor has asked you an AI-specific question and you didn’t have a clean answer.
This isn’t for you if:
- You already run a formal AI governance program with an AI risk committee, quarterly audits, and ISO 42001 certification. (If that’s you — we should probably talk anyway, because you’re the exception, not the rule.)
- You want a comprehensive enterprise AI risk assessment. This is a 10-minute snapshot, not a 6-week engagement. It surfaces the pain. It doesn’t replace deep work.
Where DISC InfoSec comes in
Here’s what happens after the score.
Most SMBs run the X-Ray, see a 38/100, and go through predictable stages: disbelief, defensiveness, then the uncomfortable realization that they’ve been playing Russian roulette with their client data. Then comes the harder question: who’s going to fix this?
Internal IT is already at capacity. Traditional Big-4 consultants show up with a $150K proposal and a six-month timeline. Framework vendors sell software that assumes you already have the governance program their software is supposed to manage. None of it fits the SMB reality.
This is exactly the gap DISC InfoSec was built to close. We specialize in SMBs — B2B SaaS, financial services, and regulated industries — who need practical AI governance implemented this month, not theorized about for the next fiscal year.
Here’s what that looks like in practice:
- A 1-page AI Acceptable Use Policy your staff will actually read and your lawyers will sign off on — drafted in days, not weeks.
- Shadow AI discovery using the tools and logs you already have, producing a living AI inventory with owners, data sensitivity, and approval status.
- Vendor AI questionnaires pre-built for your top SaaS tools, ready to send, with contract language you can paste into renewal negotiations.
- An AI Trust Brief you can put on your website or hand to a prospect — the document that turns “how are you using AI safely?” from a deal-killer into a deal-accelerator.
- Migration from personal AI accounts to enterprise plans with zero-data-retention, SSO, and admin visibility — budgeted and sequenced so it doesn’t blow up your P&L.
- ISO 42001 readiness for the subset of clients who need to formalize what they’ve built. We implemented ISO 42001 at ShareVault (a virtual data room platform serving M&A and financial services), which passed its Stage 2 audit with SenSiba. The playbook is real, battle-tested, and portable.
- A fractional vCAIO / vCISO model — the “one expert, no coordination overhead” approach. You get a named person accountable for your AI risk who has done this at scale, without hiring a full-time executive or coordinating across three consulting firms.
The remediation isn’t theoretical. The 30/60/90-day plan in your X-Ray report is the exact sequence we’ve used with other SMBs. Most of our engagements close the first four of your five priority gaps inside 60 days.
Why this matters more for SMBs than for enterprises
Big companies have entire AI governance teams now. They have budget. They have legal review. They have the ability to absorb an AI-related incident without it being existential.
SMBs don’t have any of that. One leaked customer dataset can end a relationship that represents 30% of your revenue. One regulatory inquiry can consume the next two quarters of your senior team’s attention. One bad AI-generated output in a contract can trigger litigation you can’t afford to defend.
The asymmetry is brutal: smaller surface area, but every hit lands with more force. Which is exactly why the “we’re too small to need AI governance” reflex is the most dangerous belief in the SMB security world right now.
You don’t need to out-govern Google. You need to not be the easiest target in your vertical. A 70/100 on the AI Risk X-Ray puts you comfortably above most SMB peers and answers 80% of the client AI questions you’ll get this year. That’s achievable in under 90 days with the right help.
Take 10 minutes. See the number.
The AI Risk X-Ray is free. No email gate for marketing spam, no paywall, no “enter your credit card to see results.” You get the score, the top 5 gaps, the PDF, and the 30/60/90-day plan the moment you finish.
A copy of your report lands with us too — at info@deurainfosec.com — so if you want to talk through it, we already have the context. No introductory deck, no “let me get familiar with your situation” call. We already know your score, your gaps, and your sector. We’ll email you within one business day with the three things we’d fix first.
If you’d rather just take the assessment and keep the conversation for later, that’s fine too. The tool stands on its own.
[Take the AI Risk X-Ray →] (link to the hosted tool on deurainfosec.com)
Perspective on this tool
I’ll be direct, because the whole point of this thing is directness.
Most AI risk assessments on the market right now are either (a) thinly-disguised lead-capture forms that score every answer as “you need to buy our platform,” or (b) 200-question enterprise instruments that take six hours and score you against a framework your SMB will never realistically adopt. Both are useless if you’re trying to make a decision this week.
The X-Ray is deliberately neither. Ten questions is the minimum you need to get a defensible maturity picture across the domains that actually matter for SMBs in 2026. Anything shorter is a marketing quiz. Anything longer is a consulting engagement pretending to be an assessment.
Is the score perfect? No. A real audit looks at evidence — policy documents, access logs, training records, vendor contracts. Self-assessment has an inherent generosity bias; people rate themselves a level higher than reality warrants. I’d expect most scores to be slightly inflated, which means if you score a 55, you’re probably actually a 45, and you should act accordingly.
But here’s what the X-Ray does that a perfect audit doesn’t: it gets answered. The perfect audit sits in someone’s queue for two months. The X-Ray gets finished in a coffee break, produces a number you can put on a slide, and gives you enough clarity to make a decision about what to do next. That’s the trade I’d make every time for an SMB who hasn’t even started.
If you score below 60, you have real work to do and you should stop scrolling LinkedIn AI think-pieces and actually fix something. If you score between 60 and 80, you’re in decent shape but there are specific gaps that will cost you deals when your next enterprise client sends an AI questionnaire. If you score above 80, you’re ahead of 90% of your peers — audit it, formalize it, and turn it into a sales asset.
Whatever your score, the next move isn’t to read another article about AI governance. It’s to close one gap this week. Then another next week. Then another. That’s how AI risk actually gets managed at an SMB — not by reading frameworks, but by doing one unglamorous thing at a time until the score moves.
We can help with that. Or you can do it yourself with the 30/60/90 plan in the PDF. Either way, stop guessing.
10 minutes. 10 questions. The honest answer.
DISC InfoSec is an AI governance and cybersecurity consulting firm serving B2B SaaS, financial services, and other regulated SMBs. We’re a PECB Authorized Training Partner for ISO 27001 and ISO 42001, and we served as internal auditor on ShareVault’s ISO 42001 certification. One expert. No coordination overhead. Email info@deurainfosec.com or visit deurainfosec.com.
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