Devices
Guided rollout
Halo and macOS
Use Halo Endpoint on macOS to find AI-related device signals with metadata-first collection.
How Halo works with macOS
Halo Endpoint supports guided discovery on macOS, including signals from AI applications, browsers, IDE plug-ins, developer tools, local runtimes, and model artifact locations.
The sensor uses metadata-first collection and can provide paths, hashes, and permissions as evidence. Standard collection excludes prompts, responses, documents, clipboard content, and credentials.
Governance
What Halo governs for macOS
AI application signals
Surface supported application, browser, IDE plug-in, and developer tool signals on enrolled Macs.
Local runtime evidence
Discover supported local AI runtime and model artifact location signals.
Metadata-first collection
Use paths, hashes, and permissions as evidence for supported findings.
Collection boundaries
Keep prompts, responses, documents, clipboard content, and credentials out of standard collection.
Setup
Get connected in three steps
- 1
Plan guided deployment
Work with Halo to select macOS enrollment scope and discovery settings.
- 2
Enroll devices
Deploy Halo Endpoint to selected Macs and verify that enrolled devices report signals.
- 3
Review inventory findings
Use discovered metadata to classify AI records and direct follow-up review.
FAQ
Questions, answered
Standard collection is metadata-first and does not include prompts, responses, documents, clipboard content, or credentials.
Halo Endpoint discovery is guided, so rollout scope and enrollment are reviewed during onboarding.
Put a halo around the AI your business runs.
See discovery, runtime policy, approvals, and evidence working together on your own use cases.