Administration
Configure and manage your Method Platform instance.
Overview
The Administration application is the central hub for platform configuration and management.
Capabilities
Environments
An Environment defines a data boundary. Within it, Method uses each Object’s type and identifying values to recognize the same Object across discoveries.
Each Object belongs to exactly one Environment and cannot move to another. Each Task also runs within one Environment. Use separate Environments for data that needs to stay apart, such as experimental results and your primary dataset.
Your teams and business units can share an Environment. Use Organizational Units to describe who is responsible for the Objects in that shared dataset.
Organizational Units
An Organizational Unit (OU) identifies the team, business unit, office, or other part of your organization responsible for an Object.
An Object can have multiple OU associations to reflect shared responsibility. An OU can also span multiple Environments while their datasets remain separate. Changing an Object’s OU associations does not duplicate it or move it to another Environment.
An OU’s owner identifies the responsible contact. Assigning an owner does not grant access or change permissions.
Tags
Create and manage tags to group and organize Environments. Tags enable filtering across the platform, including in the Explorer.
Onboarding
Onboard new Environments and kick off onboarding tasks to populate initial data and configure integrations.
Jackals
Create and manage your Jackal security agents. View deployed Jackals, their status, and the environments they cover.
Cloud integrations
Manage cloud provider integrations (e.g. AWS) that allow Method to discover and assess cloud resources.
Alerts
Configure alert channels (Teams, Slack) to receive notifications for new Findings, completed Task Runs, and other platform events.
Platform settings
Configure additional settings for your Method instance, including Task labels and other operational parameters.
AI Inference
Configure the LLMs that power Agents and Operator. Manage Model Providers (endpoints, authentication, and models) and Model Defaults (the Large, Medium, and Small slots every caller resolves against). See AI inference for the reference.
For environment setup, see Create a new Environment. For cloud integrations, see the AWS Integration Guide. For SSO configuration, see SSO Overview. To wire up an LLM endpoint, see Add a model provider.