When security teams think about third-party risk, they picture the vendors on the procurement list — the ones with contracts, questionnaires, and a SOC 2 on file. But every unsanctioned tool an employee signs up for is also a third party. It has access to your data, it runs on someone else's infrastructure, and it can be breached. The only difference is that no one reviewed it.
That's shadow IT (SaaS apps adopted without IT's knowledge) and increasingly shadow AI (AI tools adopted without anyone's approval). They're not a separate problem from third-party risk management — they're the part of it that's invisible.
Shadow IT has been around for a decade. Shadow AI is newer, faster-spreading, and riskier, for three reasons:
A vendor questionnaire can't help here, because there's no vendor in your system to send it to.
Most TPRM tools are questionnaire-first: someone manually adds a vendor, sends an assessment, and files the response. That model assumes you already know every third party. Shadow IT and shadow AI break that assumption by definition — they're the ones not on the list.
Some tools attempt basic discovery from SSO logs or expense reports. That helps with sanctioned-but-unmanaged apps, but it misses the tools employees use with a personal login or a free tier, and it tells you nothing about what data those tools actually touch. To catch shadow IT and AI, discovery has to start from the data itself.
Strac approaches the problem from the data layer up. Because Strac's TPRM module sits on a data-security platform, it sees the real flows — which tools and AI services your data is actually moving to, who's using them, and what kind of data is involved.
That produces a live inventory you couldn't get any other way: ChatGPT used by 142 people touching customer PII and source code; an unknown AI tool used by a dozen, accessing files no one reviewed. Each one gets a risk rating grounded in the data it touches — not a guess. When something is risky, you promote it to a managed vendor in one click and run the full security review, AI assessment, and document collection.
This is the same detection engine behind Strac's GenAI and MCP data security, applied to the vendor problem — which is why discovering shadow AI and governing it land in the same place.
You don't have to block everything — most shadow tools are adopted because they're useful. The goal is visibility and governance, not prohibition:
Yes. Any unsanctioned SaaS app is a third party with access to your data and systems — it just never went through review. That makes shadow IT a core part of third-party risk management.
Shadow AI is AI tools used without approval — ChatGPT, AI note-takers, coding assistants, browser extensions. Because they can ingest sensitive data and send it to third-party models, they're often the highest-risk, least-governed third parties in a company.
Most TPRM tools are questionnaire-first and only manage vendors someone manually adds. You can't assess a tool you don't know exists, and SSO/expense-based discovery misses free-tier and personal-login usage.
By monitoring real data flows across SaaS, cloud, browser, and endpoints. Strac discovers shadow AI from actual usage and shows what data each tool touches, so you can govern it.
Redact sensitive data before it reaches the AI tool, so employees keep the productivity without the exposure — then bring the useful tools under management. See Strac's GenAI data security.
Exactly here. Shadow AI is both a third-party risk and an AI-governance problem, and discovering it from the data layer solves both at once.
The vendors most likely to cause your next data incident aren't on your vendor list — they're the shadow IT and shadow AI tools your team adopted without anyone reviewing them. Traditional TPRM can't see them, because it starts from a list instead of from your data.
Strac starts from the data: it discovers shadow IT and AI from real flows, scores each by what it touches, and lets you bring any of them under management — all inside Strac Comply. Book a demo and we'll show you the shadow tools already touching your sensitive data.
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