Sample report. This is an illustrative MoorAI AI-readiness report built entirely from example, content-free data — no real organization or prompt content. A live report is generated by the MoorAI management server from your fleet's redacted telemetry. ← Back to MoorAI
MoorAI

AI-Readiness Report

Sample · example data
Organization: Northwind Labs (example)
Reporting period: Q2 2026
Devices enrolled: 48
Generated: content-free telemetry
// composite trust score
82/ 100 · Ready
Posture: Ready

The composite trust score rolls up alert history, shadow-AI exposure, and endpoint posture into one board-level number. It is derived entirely from redacted, content-free signals — a category, a risk level, and a one-way hash per event — never the prompts or conversations themselves.

48
Devices enrolled
0
Prompt bodies stored
213
Events this period
9
Shadow-AI apps found
// category breakdown
Data protection (secrets & PII kept off agents)88
Shadow-AI exposure (unmanaged tools & accounts)71
Endpoint posture (agent, MCP & extension hygiene)90
Acceptable use (professional AI use)84
Human oversight (justifications & sign-offs logged)79
// framework control-mapping summary
OWASP LLM Top 10
9 / 10 categories mapped
Evidenced
MITRE ATLAS
Adversarial-AI techniques aligned
Evidenced
NIST AI RMF
Govern · Map · Measure · Manage
Evidenced
ISO/IEC 42001
AI management-system controls
Partial
SOC 2 · ISO 27001
Control-mapping for audit programs
Evidenced
EU AI Act-aware
Usage records & oversight to support
Supporting

This is control-mapping and supporting evidence, not certification. MoorAI records and maps controls to support your audit and regulatory programs; it does not certify, guarantee, or by itself make an organization compliant, and it is not legal advice.

// data-lineage by agent (content-free)
AgentData classes seenEventsMost common actionEgress
Claude Code secretssource / IP 96 block None — on-device
Codex CLI source / IPPII 54 alert None — on-device
GitHub Copilot CLI PII 38 coach None — on-device
Cursor secretsPII 19 block None — on-device
ChatGPT (browser, unmanaged) source / IP 6 alert Flagged shadow AI

Every row is assembled from redacted metadata — a data-class category, an event count, and the enforced action. The report never contains a prompt, a completion, or any customer content. “Egress” records where a data class could have left; on-device review means the content itself stayed on the machine.

glick.run — AGPL-3.0