A software estate is a graph: repositories, images, packages, models, vendors and the links between them. On a flat screen you scroll through it. In a headset you can stand inside it. Safeguard is available on VR and mixed reality headsets, listed on the download page next to the smartwatch and smart glasses options.
What it is
The headset is another surface for the same Safeguard. It uses your account and shows the same findings and assets as the web app. Like the other surfaces, tenant admins can switch it off for the organization.
Where a spatial view helps
- Seeing the shape of the estate. Asset Discovery models every repository, container, package, SBOM, AI model, vendor and runtime workload as a node in a graph. Space gives that graph room, so clusters, owners and gaps are easier to spot.
- Walking through an incident. A timeline of what changed, what was scanned and what was approved is easier to follow when it is laid out around you.
- Shared review. Several people looking at the same graph and pointing at the same node makes a review shorter than passing screenshots.
- Briefings. Showing a board or a customer where a risk sits in the supply chain lands better than a table.
Where a plain screen is still better
Reading a diff, editing a policy, writing a questionnaire answer and anything that needs a keyboard are all faster on a laptop. A headset is for seeing and discussing, not for typing. Treat it as an addition, and keep the web app for the work.
Example
A platform team lays out its estate in a headset before a quarterly review. They notice a cluster of services with no owner assigned, and a vendor dependency that many products share. The owners are assigned that afternoon, and the shared dependency is added to the vendor review list.
How to start
- Ask your administrator whether the headset client is enabled.
- Start with a read only review of one product.
- Keep sessions short, and move to the web app for follow up work.
Quick check
What kind of data suits a headset better than a table?
Relationship heavy data such as the asset graph, where clusters, owners and gaps are easier to see in space.
