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Information Governance & Shadow‑AI Visibility

End-to-end visibility and policy control across IDEs, CLIs, and coding agents.

Discover shadow agents and tools, classify sessions by risk, and gain audit-ready logs for every AI coding agent.

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Why AI Information Governance Matters

AI tool discovery & cataloging

Auto‑inventory every plug‑in, agent, and model endpoint; flag sanctioned versus shadow usage.

Per‑session visibility

Record each prompt and response in real time, linking activity to user, device, and data.

Data‑aware inspection

Detect and block PII, PHI, secrets, and IP before they leave the workstation.

Asset & flow classification

Tag tools and data paths with owners and compliance domains for precise audits.

Inline policy enforcement

Apply identity‑, device‑, and data‑driven rules on every AI or infrastructure session.

SIEM/GRC enrichment

Stream AI‑specific events into existing logging and compliance workflows.

Lumeus's Information Governance in Action

Maintain developer velocity while gaining audit-ready visibility, risk scoring, and protection status for every coding agent session.

AI Traffic Dashboard

Last 24 hours

AI Requests By Tool

262
ChatGPT
Claude
Cursor

Data Classification

PII Detected
13
API Keys
8
Code Secrets
5
Safe Content
221

Active Developers

23
VS Code
Web Browser

Risk Alerts

23
High Risk 3
Medium 8

Top Usage by App

ChatGPT 156
Claude 89
Cursor 22

Recent Activity

17
Sessions

Shadow Agents and Tools Discovery

Session-first discovery of shadow coding agents, unsanctioned IDE plugins, and risky MCP servers. Get real-time inventory, sanctioned vs. shadow usage, and protection coverage across your agent fleet.

  • Full tool inventory – Auto‑detect Cursor, VS Code, desktop plug‑ins, and any other AI agents in use.
  • Live traffic monitoring – Capture and classify every interaction with ChatGPT, Claude, Gemini, and similar endpoints.
  • Per‑request risk scoring & enforcement – Assign real‑time risk scores and trigger policy actions (block, redact, step‑up auth) on each AI request.

Agent Session Classifier

Real-time analysis and classification of every coding agent session by protection status and risk level, with enriched logs sent to SIEM for compliance.

  • Protection status classification – Label each agent session as Protected, Partially Protected, or Unprotected based on inline policy enforcement and data sensitivity.
  • Critical, High, Medium, Low risk recommendations – Generate actionable recommendations for security teams based on detected threats (e.g., “Prompt Injection Detection in Dev Role – CRITICAL RISK”).
  • Detailed sensitivity explanations – Provides line‑item reasoning and compliance tags for each classification, streamlining audit and incident response.
Access Request
Reason for access:
Risk Analysis 0/100
Low Medium High
Temporary Access 2:00
john.doe
Developer
prod-db-cluster
Pending

Agent Governance

Security policies enforced inline at the coding agent edge through the Agent-Native Policy Enforcement Point—no proxies, no slowdown.

  • Inline blocking and redaction – Block or redact sensitive data in real time as coding agents interact with MCP servers, cloud LLMs, and repositories.
  • Identity and context-aware access control – Grant or deny access to coding agents based on user role, device posture, data sensitivity, and session context.
  • SIEM-ready session logs – Capture every prompt, tool launch, MCP call, agent decision, and risk score for complete audit trails and compliance reporting.
AI Request Monitoring Animation
AI Request Monitoring
Real-time detection
Time
User
App
Request
Detections
11:23:38
guru.shenoy
Cursor
Parse credit card numbers for valid visa
PCI
11:24:15
sarah.wilson
ChatGPT
Debug authentication with user emails
PII
11:25:02
john.doe
Claude
SQL query to update payment info
PII, Financial
11:25:45
alex.kim
Cursor
API endpoint for user profiles
None
11:26:20
maria.garcia
ChatGPT
Hash passwords securely in Node.js
Security
11:27:10
david.chen
Claude
Parse schema with SSN data
PII, SSN

Complete AI Governance in Action

Watch how organizations gain full visibility into shadow agents and tools, classify sessions by risk, and maintain SIEM-ready audit logs—without disrupting developer workflows.

Built for AI Information Governance

FOR DEVELOPERS

Code Without AI Compliance Worry

Use favorite AI tools like ChatGPT and Claude while automatically maintaining data protection and organizational compliance policies.

Get Instant Data Awareness

Know immediately when AI interactions involve sensitive information without disrupting development workflows or requiring manual reviews.

Focus on Building Features

Concentrate on development work while Lumeus handles AI governance, data classification, and compliance documentation automatically.

FOR IT TEAMS

Manage Sanctioned AI Usage

Establish approved AI tool lists and monitor compliance with organizational data handling standards across all teams.

Monitor AI Access Patterns

Review comprehensive logs showing who accessed what data through AI tools, when, and with what level of risk exposure.

Enable Secure AI Adoption

Balance AI productivity benefits with governance requirements through policy-driven usage controls and automated enforcement.

FOR SECURITY TEAMS

Gain Shadow AI Visibility

Define sanctioned AI applications and automatically detect when teams use unapproved tools that violate data policies.

Classify Data Exposure Events

Monitor what sensitive information flows through AI tools with real-time classification and automated SIEM export capabilities.

Enforce Governance Frameworks

Apply consistent information governance policies across all AI tool usage with continuous assurance and compliance reporting.

Ready for complete information governance for coding agents?

Get real-time visibility into who accessed what, why, and when across your entire infrastructure.

Request a Demo

We are excited to announce that Lumeus has been acquired by Fiddler AI.

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