Solutions/Use Cases/Agent Discovery
Use Case

Varman for AI Agent Discovery

The average enterprise is running 3x more AI agents than IT knows about — creating invisible risk vectors across every department. Varman deploys a zero-code scanner that surfaces every agent, framework, and dependency in under two hours.

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The Challenge

Engineering teams deploy LangChain agents for internal tooling — then forget them. They keep running, accessing systems, accumulating costs.

Business units spin up AI automations via no-code platforms. IT has no visibility into what data these agents access or what actions they take.

Deprecated agents remain active for months. When a model is updated or a data source changes, these orphaned agents behave unpredictably.

Without a registry, compliance audits fail. Auditors ask: 'List all AI systems that touch customer data.' Most enterprises cannot answer.

● UNMONITORED AGENT ACTIVITY — LIVE
0 unregistered agents detected

How Varman Solves It

01

Deploy Zero-Code Scanner

Varman's passive network scanner deploys in minutes via a single API key or sidecar — no agent instrumentation required. It fingerprints AI traffic by analyzing API call patterns, model identifiers, and framework signatures across your infrastructure.

Passive Network AnalysisZero-Code DeployCloud + On-Prem
02

Agents Auto-Register with Metadata

Every discovered agent is automatically catalogued with rich metadata: framework version, deployment owner, data sources accessed, API endpoints called, and estimated token spend. The registry self-updates as your environment changes.

Framework DetectionOwner AttributionToken Cost Tracking
03

Continuous Monitoring with Drift Detection

Varman watches for behavioral drift — agents that start accessing new data sources, calling new APIs, or changing their invocation frequency. Alerts surface immediately so your team can investigate before a drift becomes an incident.

Behavioral Drift AlertsReal-Time RegistryDependency Mapping
Live Demo

Agent Discovery in Action

Watch Varman scan your enterprise and surface every AI agent in real time.

varman — agent-discovery-scan
SCANNING 0%
Agent NameDepartmentFrameworkLast ActiveRisk

Key Capabilities

Automatic Agent Fingerprinting

Identifies agents by analyzing API call patterns, model identifiers, and SDK signatures — no code changes required.

Framework Detection

Recognizes LangChain, AutoGen, CrewAI, LlamaIndex, OpenAI SDK, Bedrock, and 40+ other frameworks automatically.

Deployment Metadata Capture

Records owner, environment, cloud region, version, and data sources for every discovered agent.

Risk Scoring Per Agent

Each agent receives a dynamic risk score based on data access, action scope, and behavioral anomalies.

Dependency Mapping

Visualizes which agents depend on which models, data sources, and downstream systems.

Real-Time Agent Registry

A continuously-updated central registry of all AI agents, queryable via API, UI, and CMDB integrations.

Measured Outcomes

0

Average agents discovered per enterprise

3.2x

More agents than IT previously knew about

0%

Infrastructure coverage — cloud, on-prem, hybrid

0hr

Time to complete full agent inventory

Start solving Agent Discovery today

Book a 30-minute live scan and see every AI agent in your environment within minutes.

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