Solutions/Use Cases/Shadow AI Detection
Use Case

Varman for Shadow AI Detection

Employees are connecting unauthorized AI tools to company data every day — and your security team has no idea. Varman detects shadow AI at the network level and gives you full remediation control within 24 hours.

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The Challenge

Engineers paste customer PII into personal ChatGPT accounts to debug issues. This data leaves your perimeter with no log, no consent, no recovery.

Sales teams use unlicensed Copilot instances to draft proposals, unknowingly feeding deal data into third-party model training pipelines.

Finance analysts connect AI tools directly to spreadsheets containing revenue projections, cap tables, and M&A data.

IT can't block what it can't see. Traditional DLP tools don't understand AI API traffic — they're blind to the new attack surface.

● SHADOW AI RADAR — ENTERPRISE PERIMETER
SANCTIONED ZONE
0 unauthorized tools detected outside enterprise perimeter

How Varman Solves It

01

Network-Level AI Detection

Varman inspects network traffic for AI API fingerprints — model endpoints, token payloads, and SDK headers — identifying unauthorized AI usage without requiring endpoint agents or employee monitoring software.

Deep Packet InspectionAI API FingerprintingZero-Endpoint Deploy
02

Policy Violation Flagging

Every detected shadow AI instance is automatically cross-referenced against your sanctioned tool catalog. Policy violations are flagged in real time with context: user, department, data type accessed, and risk classification.

Sanctioned Tool CatalogReal-Time FlaggingRisk Classification
03

Remediation Workflow

Security teams choose their response: quarantine (block API traffic), escalate (route to manager for approval), or approve (add to sanctioned list with policy constraints). Full audit trail of every remediation decision.

Auto-QuarantineApproval WorkflowAudit Trail
Live Demo

Shadow AI Radar Console

varman — shadow-ai-enforcement
● LIVE ENFORCEMENT
ToolUserDepartmentData AccessedStatusTime
Waiting for shadow AI events...

Key Capabilities

Network Traffic Analysis

Inspects AI API traffic at the network layer without requiring endpoint software or employee monitoring.

Unauthorized API Call Detection

Flags calls to known AI endpoints (OpenAI, Anthropic, Cohere, etc.) from unregistered sources within your organization.

Employee AI Tool Catalog

Maintains a live catalog of all AI tools in use — sanctioned and unsanctioned — with usage frequency and data risk scores.

Risk Classification

Automatically classifies shadow AI by data sensitivity, geographic risk, and potential regulatory exposure.

Executive Shadow AI Report

Weekly boardroom-ready report showing shadow AI trends, top violating departments, and remediation status.

Auto-Quarantine

Automatically blocks API traffic from high-risk shadow AI tools based on configurable risk thresholds.

Measured Outcomes

0%

Of shadow AI detected within first 24 hours

0%

Policy coverage across all network egress points

0d

To zero missed deployments after full deployment

0.2x

Shadow AI tools vs sanctioned AI tools, on average

Start solving Shadow AI today

See every unauthorized AI tool in your enterprise within 24 hours of deployment.

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