Learn about the AI asset inventory, which provides comprehensive visibility into AI models, endpoints, datasets, and infrastructure across your cloud environments.
Cortex Cloud provides a comprehensive overview of the AI assets within an organization, designed to ensure AI security by offering tools to review and prioritize AI risks effectively.
You can view all AI assets in your environment, regardless of deployment mode or cloud provider. Navigate to → → to access the inventory. The top of the page features interactive widgets that summarize your AI security posture:
Assets at risk: The number of AI assets with detected vulnerabilities or misconfigurations.
Cloud provider breakdown: A summary of AI resources distributed across your cloud environments (AWS, Azure, GCP).
Sensitive assets: The number of AI assets handling classified or sensitive data.
Sensitive assets discovered last 7 days: A trend metric for newly exposed sensitive assets.
The AI inventory is organized into the following categories to help you quickly filter your resources
All AI Assets: An aggregated view of all AI resources.
Agents AI agents (such as AWS Bedrock Agents) that use models and tools to perform tasks and assist primary models.
Datasets: Collections of data used by AI models. This includes Training datasets used to teach the model how to process information, and Inference datasets used to provide real-world data during the model's inference phase such as for Retrieval-Augmented Generation, or RAG.
Models: The trained machine learning models themselves , whether managed by a cloud provider or self-managed on your own cloud infrastructure.
Model Endpoints: The interface through which applications interact with the AI model, acting as an access point for sending inputs and receiving generated outputs.
Software packages The underlying AI-related software packages and SDKs used by developers to build these systems.
Clicking an AI asset in the inventory table opens a detailed asset card with specialized tabs for deep inspection:
Overview: Summarizes highlights, properties, and asset identifiers.
Identity: Provides an aggregated view of the permissions associated with the asset, mapping the relationships and displaying the identities that can access it.
Data: Displays data profiles such as CCPA, Financial, and PCI, as well as data patterns found within datasets related to the asset.
AI Ecosystem: Visualizes the "Asset Story," providing a topological map of how the AI components interact. For example, mapping the foundational Model connected to the Model Endpoint, tied to the Inference Dataset,