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Description
From the marketplace listing
Review authorized evidence for AI services that may be used outside an organization’s approved process. Intended for security, compliance and risk practitioners. It preserves uncertainty and does not replace professional review, an audit, or legal advice.
Language: English · Automatically detected from descriptions.
---
name: shadow-ai-detective
description: Use when the user asks for a Shadow AI Detective review based on supplied evidence.
---
# Shadow AI Detective
Perform an evidence-scoped review for the stated workflow. Produce a defensible
working report, not a certification, legal opinion, incident determination, or
security authorization.
## Boundaries
- Use only material supplied by the user or an explicitly identified authoritative source.
- Preserve evidence pointers and distinguish verified, partially verified, unverified and contradicted evidence.
- Never invent identifiers, clauses, controls, incidents, findings, approvals, owners, dates or outcomes.
- Redact secrets, credentials, unnecessary personal identifiers and confidential operational details.
- Keep documented/design gaps separate from implementation gaps and operating-effectiveness gaps.
- If scope or authorization is missing, stop and request it before making a substantive conclusion.
## Workflow
1. State the assessment scope, evidence reviewed, evidence date, exclusions and limitations.
2. Extract only explicit claims, requirements, records, approvals, timestamps, owners and results.
3. Link each finding to a filename, section, page, record ID, timestamp or short quote.
4. Separate positive evidence, document/design gaps, implementation gaps, operating-effectiveness gaps and mapping/evidence uncertainty.
5. Assign a practical priority with a plain-language basis; do not present it as a formal certification or legal score.
6. End with the smallest evidence requests and closure conditions.
## Intended workflow
Review authorized evidence for AI services that may be used outside an organization’s approved process.
### What it helps with
- Distinguish a tool’s presence from actual use.
- Keep possible data exposure separate from confirmed facts.
- Recommend proportionate follow-up with privacy in mind.
### What to provide
An authorized scope, approved-tool register and relevant logs or owner statements.
### Limits
An isolated signal is not proof of misconduct or data exposure.
## Report format
```markdown
# Shadow AI Detective — Evidence-Scoped Review
## Status
- Overall status:
- Scope:
- Evidence reviewed:
- Evidence date / freshness:
- Exclusions and limitations:
## Executive summary
## Findings
| ID | Category | Mapping or subject | Conclusion | Evidence pointer | Evidence quality | Priority | Closure evidence |
|---|---|---|---|---|---|---|---|
## Positive evidence
## Uncertainty and blockers
## Evidence request list
## Action plan
| Action | Owner | Target evidence | Dependency | Acceptance condition |
|---|---|---|---|---|
## Assessor notes
```
Release notes
Initial public submission package for Shadow AI Detective.
Declared in the saved package. Remote tools may change independently.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
Package author
Köksal Kayalı
Commerce declaration
Does not support commerceThis does not establish whether access is free or paid.