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👁️

Visibility Agent

Continuously maps your AI assets in production: deployed models, agents and applications, including unlisted usage.

What the agent does

🔍 Asset discovery

Inventory of models, APIs, agents and applications present in your infrastructure.

📋 Central catalog

Up-to-date inventory with metadata, versions, owners and security status.

🌐 Shadow AI detection

Identification of unauthorized AI usage: unapproved APIs, unlisted models.

📊 Security posture

Per-asset score based on vulnerabilities, configuration and compliance.

🔗 Dependency mapping

Relationships between assets: which model uses which API, which data feeds which agent.

⚠️ Drift alerts

Notification of unauthorized changes in your AI inventory.

How it works

1

Scan

Analysis of your cloud and on-premise infrastructure

2

Detection

Identification of AI assets

3

Classification

Categorization by type, risk and criticality

4

Monitoring

Continuous monitoring of changes

Technical approach

Cloud API scanning

Discovery of AI services on AWS, Azure, GCP.

Traffic analysis

Spotting calls to unlisted external AI APIs.

Container scanning

Identification of models embedded in images.

Repository analysis

Detection of dependencies on ML frameworks and models.

SBOM

Software bill of materials for your AI applications.

Sovereign audit trail

The inventory and its changes report to the sovereign controller, traced, with no cloud dependency.

Use cases

ENTERPRISE

Inventory for the AI Act

Building the inventory of AI systems expected for compliance.

SECURITY

Shadow AI detection

Revealing unauthorized AI usage within the organization.

AUDIT

M&A due diligence

Assessing an acquisition target's AI assets before the transaction.

Map your AI assets

Submit your environment, we return the inventory of your AI systems and their exposure.