R27 — Shadow AI / Unsanctioned LLM Use

Q: How do security teams mitigate Shadow AI / Unsanctioned LLM Use?

In CISO Game, Shadow AI / Unsanctioned LLM Use is reduced by Detection (40%), Identity (30%), Awareness (30%) subscores. Real-world programs use the same control families, with category investments such as AI Security Posture Management (AI-SPM), AI usage & secure-prompting training, AI Governance & ISO 42001 program.

Q: Why does Shadow AI / Unsanctioned LLM Use matter to a CISO?

Severity 7 (Major). Shadow AI — employees pasting confidential data into ChatGPT, Claude, Gemini, or open-source LLMs — is the modern shadow-IT category. Surveys consistently put usage at 50–70% of knowledge workers; the discovery problem is acute because traffic looks like normal HTTPS to consumer SaaS. CASB-style AI usage monitoring, DLP integrations, and explicit AI-use policies (with an approved enterprise alternative) are the lever.

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R27 AI Severity 7 · Major

Employees pasting sensitive data into public LLM chat or coding assistants without sanction. Detection (CASB/SWG) + identity governance + awareness.

What is Shadow AI / Unsanctioned LLM Use?

Employees pasting sensitive data into public LLM chat or coding assistants without sanction. Detection (CASB/SWG) + identity governance + awareness. CISO Game tracks this as R27 in the live risk register, severity 7 (Major), category AI.

How does CISO Game model Shadow AI / Unsanctioned LLM Use?

Exposure for R27 runs from 0 to 100, recomputed live as you buy, cancel, or reassign products. How the exposure model works →

Real-world parallel

Shadow AI — employees pasting confidential data into ChatGPT, Claude, Gemini, or open-source LLMs — is the modern shadow-IT category. Surveys consistently put usage at 50–70% of knowledge workers; the discovery problem is acute because traffic looks like normal HTTPS to consumer SaaS. CASB-style AI usage monitoring, DLP integrations, and explicit AI-use policies (with an approved enterprise alternative) are the lever.

How do security teams mitigate Shadow AI / Unsanctioned LLM Use?

The dominant subscore levers for this risk are:

Detection subscore — weight 40%
Identity subscore — weight 30%
Awareness subscore — weight 30%

Gated: only active when AI focus is enabled in Setup.

Which investments mitigate Shadow AI / Unsanctioned LLM Use?

Products in CISO Game that reduce exposure to R27:

Which related risks should you also watch?

Risks with similar dominant subscores or shared category — addressing one often helps the others:

Why does Shadow AI / Unsanctioned LLM Use matter to a CISO?

AI risk is the newest category in the register. Shadow AI / Unsanctioned LLM Use requires controls that are still maturing — model cards, AI red-teaming, AI-SPM, prompt-injection detection. CISO Game's AI focus toggle activates these.

How can you test your mitigation strategy?

Click Play CISO Game free to see R27 appear live in your risk register and watch each purchase move the exposure number in real time. No signup required.

Stress-test Shadow AI / Unsanctioned LLM Use in the AI startup scenario →