3LS Platform Documentation
Technical guides for enrolling the `guardian` runtime into 3LS Platform. Guardian enforces company AI policy at the endpoint before prompts, uploads, and tool actions leave the organization.
Start here
Get the `guardian` runtime enrolled and connected to 3LS Platform, then move into configuration, examples, and platform details. Start with the Windows Quick Start if you are onboarding managed endpoints for the first time.
Related technical topics
Follow the technical path from enrollment through policy and operational workflows.
What this section is for
This is the technical destination for enrollment, configuration, examples, and implementation details. Marketing pages stay visual and product-led; technical specifics live here.
Enroll guardian into 3LS Platform
The onboarding flow is token-based: an administrator issues an enrollment token, guardian enrolls into 3LS Platform, and the service returns agent credentials for ongoing configuration polling.
Enrollment flow
Issue an enrollment token
A tenant admin or superadmin creates an enrollment token through the management server.
Send host and platform metadata
The agent enrolls by sending hostname, platform, OS version, agent version, and machine identifier.
Receive credentials
The server returns an account identifier, agent identifier, agent token, and config version.
Start config polling
The agent stores its credentials locally and begins polling for configuration updates with the issued agent token.
Enrollment sequence
Stored credentials and state
After enrollment, the agent keeps the minimum state needed to identify itself and retrieve configuration updates.
Server URL
The management server the agent enrolled against.
Agent ID
The identity assigned to the enrolled device.
Agent token
Credential used to authenticate later configuration and event operations.
Config version
Starting configuration version returned during enrollment.
Configuration reference and examples
Use this section for configuration structure, example policies, and platform-specific behavior. This is where YAML and reference material belong.
Reference areas
Configuration file structure
Example policies and starter configurations
Enrollment and token lifecycle behavior
Polling, updates, and operational notes
Platform notes
Windows-specific options and paths
Cross-platform policy fields
Example configurations for managed deployments
Technical troubleshooting references
Shadow AI and agentic tools
Technical deployments often need to account for unmanaged usage across agentic tools, coding assistants, and browser-based AI workflows.
Recognize tools in use
Track approved and unmanaged usage across tools like Codex, Claude, and other agentic assistants.
Tie usage to controls
Map discovery and classification to the policy and configuration references documented here.
Move between docs and platform views
Use the platform page for product concepts and this section for implementation detail.