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Coming soon · Shadow AI discovery
Every AI tool in your company, in one surface.
GreyScape.ai pulls signals from your expense cards, device fleet, network gateway, code repos, and SSO event log — and merges them into one ranked surface. You triage, sanction, or block from a single page.
Tools surfaced this month
12
Awaiting triage
11
High-risk findings
3
Est. personal-tier spend
$854/mo
Where the signal came from
Each connected source catches a slightly different kind of shadow AI. Stack as many as you can — coverage is additive.
Brex
Card transactions
3
discoveries
Ramp
Card transactions
2
discoveries
Jamf
macOS device inventory
1
discoveries
Intune
Windows / iOS / Android
1
discoveries
Network
DNS / HTTP egress
2
discoveries
GitHub
AI library imports
2
discoveries
Okta
SSO event hooks
1
discoveries
Recent discoveries
filter / sort
| Tool | Category | Detected by | First seen | Users | Est. monthly | Risk | Status |
|---|---|---|---|---|---|---|---|
| ChatGPT Plus | chat | Brex | May 02 | 8 | $160 | medium | review |
| Claude Pro | chat | Ramp | May 03 | 5 | $100 | medium | review |
| Cursor IDE | coding | Jamf | Apr 28 | 12 | $240 | low | sanctioned |
| Midjourney | image | Brex | May 06 | 3 | $90 | low | review |
| Perplexity Pro | chat | Network | May 08 | 14 | — | low | review |
| ElevenLabs | audio | Ramp | May 04 | 2 | $44 | medium | review |
| Replit AI | coding | Brex | Apr 19 | 4 | $80 | low | review |
| langchain (import) | agent | GitHub | May 09 | 2 | — | high | review |
| OpenAI SDK in prod | agent | GitHub | May 10 | 1 | — | high | review |
| Claude.ai web | chat | Network | May 07 | 21 | — | medium | review |
| Ollama (local) | agent | Intune | May 05 | 3 | — | high | review |
| Granola | chat | Okta | May 08 | 7 | $140 | low | review |
3 high-risk findings worth your attention this week
- OpenAI SDK in production code — repo `customer-bot` calls OpenAI with a hardcoded sk-proj- key (committed by Maya Reyes, May 10). No corresponding approval request on file.Source: GitHub Enterprise scanner
- Ollama installed on 3 engineering laptops — local LLM runtime that could be used to process sensitive data without any audit trail.Source: Microsoft Intune device inventory
- langchain library imported in `support-ticket-summariser` — production service was instrumented with LangChain on May 9. Not approved; vendor risk unknown.Source: GitHub Enterprise scanner
How you'd use this
- Wire each source on /settings/integrations (one-time).
- Each morning, scan the high-risk callout — these are the things that need a decision today.
- Sanction (move to a corporate seat), Block (add to the deny-list), or Review (assign to a colleague) — every action is in the audit log.
Sample output
12 tools surfaced across 7 sources this month, of which 3 are flagged high-risk. Approx $854/month in personal-tier subscriptions on corporate cards — candidates to consolidate into a company plan.
What this unlocks
See AI tools before they're a habit, not after. Catch hardcoded API keys, local-LLM exfiltration risk, and unapproved library imports before a customer audit finds them.