Your Shadow AI Inventory Is Wrong. Here’s a Free Way to Fix It.
If I asked your CISO or DPO today, “What’s the complete list of AI tools touching company or customer data?” — what would they hand you?
In most B2B SaaS and financial services orgs I work with, the answer is a stale spreadsheet of the four or five tools that got procurement approval, plus a vague acknowledgement that “people are probably using ChatGPT.” That’s not an AI inventory. That’s wishful thinking with a header row.
And it’s about to become an audit finding.
Why this gap matters now
EU AI Act obligations for general-purpose AI and high-risk systems are arriving in waves through August 2026. ISO 42001 Clause 6.1 expects you to identify AI risks tied to the specific systems in use. HIPAA enforcement around PHI in genAI tools is already here. NIST AI RMF’s GOVERN function presumes you can name what you govern.
Every one of those frameworks has the same prerequisite: a current, defensible inventory of every AI system in scope — including the ones nobody told you about.
Standard discovery tooling misses most of it. DLP doesn’t catch a browser tab. CASB doesn’t see a personal Claude session on a managed device. OAuth audits in Workspace and Entra catch the embedded SaaS AI but skip the web tools entirely. The result: most “AI inventories” are 30–40% of reality, and the missing 60% is exactly where the unreviewed PHI, PII, and source code is flowing.
A practical way to close the gap (free)
I’ve been collaborating with the team at Aguardic on a Shadow AI Discovery tool that I think is genuinely useful for anyone running an AI governance program. It’s free, browser-based, and you don’t need to install anything.
Three inputs:
- What you already know. Free-text list of AI tools your team uses — browser, embedded SaaS, dev tools, voice transcribers. Anything you’ve spotted.
- Optional: a DNS or proxy log export. Cisco Umbrella, Cloudflare Zero Trust, NextDNS, Pi-hole — the tool has inline export instructions for each. Files are parsed in memory, not stored.
- Optional: an OAuth grants export. Google Workspace, Microsoft 365 / Entra ID, Okta, Auth0 — again with step-by-step export guides in the form.
It matches everything against a curated catalog of 100+ AI tools and produces an editable Word report with, per tool: BAA coverage status, framework exposure (HIPAA, EU AI Act, GDPR, ISO 42001, NIST AI RMF, SOC 2, Colorado AI Act, FERPA, PCI DSS), a risk rating tied to the frameworks you selected, and a specific policy recommendation.
Want a professional AI risk assessment you can actually share with leadership or clients?
Contact DISC InfoSec directly to help run the report and deliver it as a DISC InfoSec co-branded assessment — positioned as a polished executive-ready deliverable, not just another vendor-generated brochure.
A great way to start conversations around Shadow AI, AI governance, and enterprise AI risk visibility.
→ https://www.aguardic.com/
My take
Shadow AI isn’t really a tool problem. It’s a governance sequencing problem.
Most organizations I see are trying to write AI acceptable use policies, vendor risk frameworks, and ISO 42001 documentation before they actually know what AI is in use. The policy ends up referencing “approved AI tools” without naming any, the risk register has three line items when it should have thirty, and the internal auditor’s first question — “how did you scope this?” — has no defensible answer.
ISO 42001 Clause 4 (Context) and Annex A.4 (Resources for AI systems) both presume you have an inventory you trust. EU AI Act Article 9 (Risk Management) presumes the same. You cannot classify a high-risk AI system under Annex III if you don’t know the system exists.
Discovery is the first 80% of the work that makes every downstream control function. Skip it, and your governance program is governing a fiction.
If you’ve been putting this off because the manual version is painful — surveying employees, chasing IT for DNS logs, mapping each tool to controls one by one — this is a 10-minute version of that work that gives you something concrete to bring to your next steering committee.
Run it, share the report, and use it as the starting point for the AI risk register you should already have.
If you want help operationalizing what the report surfaces — turning the findings into an ISO 42001 Annex A control set, an EU AI Act classification decision, or a vendor risk workflow — that’s what we do at DISC InfoSec. Reach out.
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DISC InfoSec is an active ISO 42001 implementer and PECB Authorized Training Partner specializing in AI governance for B2B SaaS and financial services organizations.
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