AI Inventory Overview

AI Inventory provides a complete view of AI tools and systems used across your organization.

It is the foundation for visibility, governance, and control.

Why inventory matters

Most organizations underestimate the number of AI tools in use.

Teams adopt tools independently. Features with embedded AI go unnoticed. Internal experiments become production systems without review.

Without inventory, governance is not possible.

What Peridot discovers

Peridot identifies:

  • External AI tools (e.g., ChatGPT, Claude)

  • Embedded AI features in SaaS platforms

  • Internal AI systems and workflows

  • AI-generated applications

Inventory includes both:

  • Sanctioned tools (approved)

  • Shadow AI (unapproved or unknown usage)

How discovery works

Peridot uses integrations across:

  • SaaS platforms

  • Cloud environments

  • Logs and APIs

This allows it to identify AI usage based on:

  • Requests to model providers

  • Application behavior

  • Data movement patterns

What you can do with inventory

Once AI tools are discovered, you can:

  • Classify tools as sanctioned or shadow

  • Associate tools with teams or environments

  • Monitor usage patterns

  • Apply policies

  • Track risk over time

Inventory as a control surface

Inventory is not just a list.

It is a control surface where:

  • Policies are applied

  • Risk is evaluated

  • Activity is monitored

Every other part of Peridot builds on top of inventory.

What to do next

  • Review Discovering AI Tools to understand detection methods

  • Move to Data Flows Overview to track data movement


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