AI asset inventory view

AI systems

An AI system can make predictions, recommendations, or decisions that impact physical or virtual environments, with outputs or behaviors that aren’t always predetermined by the developer or user. These systems are often trained using large amounts of structured or unstructured data and may function with different levels of autonomy, or none at all, to fulfill objectives set by humans.

AI models

AI models consist of functions and algorithms that are trained and evaluated on datasets to generate predictions or take decisions.

Prompts

Any data, including text or images, that is used to guide, instruct, or influence an AI model’s output. Prompts can also refer to an element in a process that requires user input in a field before moving to the output screen.

Datasets

A dataset usually consists of records and fields organized into rows and columns. These datasets are stored within a database table.

MCP Server

Provides external functionality by exposing tools for AI agents to use.

AI assets are presented in a list format and organized by display name, provider, vendor, managed by, lifecycle phase, state, status, and risk classification.

For information on AI asset record details, see View AI asset details

For information on creating AI assets, see Creating AI assets

For information on process flow of the MCP servers, see Process flow of MCP servers Via AI Gateway