Sample Report

What Netra Finds in the First 30 Days

Every name, figure, device, and domain in this report is invented.

Netra AI Risk Report · Sample

Example Corp

AI security findings from a 30-day assessment on 280 endpoints.

Sample report with illustrative data. Prepared by Netra Security.

Company
Example Corp
Assessment window
30 days ending Oct 24, 2026
Endpoints enrolled
280
Active users
262 in 5 departments
Product in scope
AI Security
Policy mode
Observe throughout the assessment
01

Executive Summary

Six numbers describing Example Corp’s AI estate, and the findings behind them.

AI apps discovered4731 unsanctioned
Endpoints with AI198Of 280 enrolled endpoints
Employees on personal AI accounts78Of 194 active AI users
Sensitive prompts and uploads212Graded S3 or S4
Risky agent chains92 critical, 4 high
Coding-agent users1205 agents, 10,940 autonomous runs

Top findings

  1. Critical
    Two coding-agent chains combine command execution, network access, and labelled files on one device.

    J. Brown · Claude Code (9.1) with 12 labelled files on the device; A. Rivera · Codex (8.4) with 25 capabilities.

  2. High
    Thirty-one unsanctioned AI apps in use; one chatbot received customer records.

    NovaChat has 41 users. Across all apps, 64 prompts contained customer PII.

  3. High
    Sales uses more personal AI accounts than corporate ones.

    41 of 48 Sales AI users used a personal account; 18 used a corporate one. 78 employees overall used a personal account.

  4. High
    Company AI tools used for personal high-frequency trading.

    Three Finance users: 338 trading-strategy conversations on the corporate ChatGPT workspace.

  5. High
    Three high-risk MCP tools have no control policy.

    23 servers and 41 tools across Claude, Cursor, ChatGPT, Codex, and Gemini; six rated High, three Not controlled.

02

Shadow AI

AI apps in use across browser, desktop, terminal, and local runtimes.

Sanctioned apps16Whitelisted
Unsanctioned apps31New discoveries: 9
Installed AI apps12On 118 endpoints
Local models3Ollama and LM Studio

Top unsanctioned apps

AppCategoryUsersHits
NovaChatAI Chatbot419,400
TransQuickAI Tools223,100
SlideGenAI Tools182,700
NoteMindAI Tools9820
PromptHubAI Chatbot3190

Active AI users by department

Engineering72
Sales48
Support34
Finance28
HR12

194 of 262 users were active in at least one AI tool during the window.

AI outside the browser

Installed appTypeEndpointsVulnerability
CodePilot X 3.23.12AI Coding Assistant12Critical 9.8
ChatDesk 2.6.1AI Chatbot27Medium 6.5
LocalLM Runner 0.9.4AI Model Runtime5–

Three local models run on 9 endpoints, through Ollama and LM Studio.

AI BoM: 24 AI components in packages, IDE extensions, autorun entries, and runtimes, including one startup item, ai-sync-agent.

03

Accounts and Usage Topics

Which account each AI session ran on, and what it was used for.

DepartmentCorporate accountsPersonal accounts
Engineering6222
Sales1841
Support340
Finance239
HR86

Users on both account types count in both columns: 29 hold both for the same tool. A domain rule cannot tell them apart; an account-type policy can.

Top usage topics

TopicToolsDepartmentSessions
Code and debuggingClaude Code, CursorEngineering14,600
Customer emailsChatGPT, CopilotSales4,180
Financial analysisChatGPT, CopilotFinance1,860
HR documentsCopilotHR520
Trading strategy and backtestingChatGPT (corporate)Finance338
04

Coding Agents and the AI Supply Chain

Agents on endpoints, what they can call, and which combinations are risky.

Coding agents in use

AgentUsersConversationsAutonomous runsS3–S4 hits
Claude Code5111,8006,88038
Cursor335,4001,72017
Codex CLI193,3001,59011
Gemini CLI111,3006404
Kiro64801101

MCP tools by risk

ToolServerClientUsersRiskControl
exec_commandshell-runner-mcpCodex3HighNot controlled
push_branchrepo-sync-mcpCursor14HighAudit only
export_contactscrm-export-mcpChatGPT5HighNot controlled
read_channelslack-readerClaude22MediumAudit only
search_docsdocs-search-mcpGemini31LowNot controlled

23 servers and 41 tools in total. Installed but unused servers are removable attack surface.

Agent Skills flagged for review

SkillClientCapabilitiesRiskSignal
deploy-helperClaude CodeCommand Execution, NetworkHigh–
csv-cleanerCodexCode Execution, Data ProcessingMediumScripts changed
meeting-notesClaude DesktopFilesystemLowSame-name impersonation

14 skills installed across Claude Code, Codex, and Claude Desktop.

Risky Chains

UserAgentDeviceCapabilitiesReachScoreLevel
J. BrownClaude CodePC-WIN-07exec, network, filesystem12 labelled files9.1Critical
A. RiveraCodexMBP-14exec, network, filesystem25 capabilities8.4Critical
S. PatelCodex CLIPC-WIN-05exec, filesystem5 labelled files6.4High

Agent Graph weighs capabilities against labelled data on one device, scoring 0–10. Nine chains: 2 critical, 4 high, 3 medium.

05

Sensitive Data in AI

Prompts, uploads, and tool calls graded S1–S4 by classifiers and MIP labels.

S438prompts and uploads
S3174prompts and uploads
S2410prompts and uploads
S1596prompts and uploads

S3–S4 by channel category

AI Chatbot118
AI Coding Assistant71
Embedded AI23

Top classifiers matched

Customer PII64
Proprietary source code58
Financial data41
Credentials27
HR records22

Example events

UserChannelContentLevelPolicy outcome
A. RiveraNovaChatCustomer list in promptS4Observed
J. BrownCodePilot XSource code in promptS4Observed
S. PatelPromptHubAPI key in promptS4Observed
M. ChenChatDeskq3-board-deck.pptx uploadedS3Observed
06

Recommended Next 30 Days

Five policy changes, each in the console view where it is made.

  1. AI Security

    Whitelist the 16 sanctioned apps and block execution of CodePilot X until it is patched.

    Analytics › Shadow AI · Protection › Access › AI Apps
  2. AI Security

    Set policy by account type, starting with Sales: allow the corporate ChatGPT workspace, warn on personal accounts.

    Protection › Data
  3. AI Security

    Review the Finance trading-strategy conversations, then limit the corporate ChatGPT workspace to working hours for Finance with a SaaS AI access policy.

    Incidents › Investigations · Protection › Access › SaaS AI
  4. AI Security

    Block exec_command and export_contacts for all users, keep push_branch on Audit only, and revoke csv-cleaner pending review.

    Assets › MCP · Assets › Skills
  5. AI Security

    Move S4 content from Observe to Block for AI chatbots and embedded AI; keep Warn for coding-assistant source code.

    Protection › Data

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