Because every AI action in your organisation passes through Xybern before it executes, our availability is your AI availability. We treat uptime as an operational obligation, not a marketing number.
If your analytics platform goes down, dashboards are unavailable. If an inline enforcement layer goes down, the question is whether your agents run without enforcement. We designed the answer to always be no.
Even during an incident, no agent action executes without passing the layer first.
If the layer is unreachable, actions queue at the boundary. Nothing slips through.
Held actions are processed in sequence on recovery, so nothing is lost and nothing is unrecorded.
There is no window of unrecorded, unverified activity to explain to a regulator later.
Fail-closed is a deliberate architectural choice, not a fallback. We explain each option with its full consequence, because you should choose your fail behaviour consciously.
The Xybern default. Actions queue and none execute while the layer is unreachable, with a full record maintained and zero exposure during the outage.
Not the default. Actions execute without enforcement during an outage, leaving an unrecorded window. Available only as an explicit, documented choice.
Every queued action is processed in order the moment the layer recovers.
You choose the behaviour deliberately, per workspace, with the trade-off stated plainly.
A live health signal, a defined incident response, and a published uptime history, so availability is something you can verify, not just read.
A live endpoint for the enforcement layer so you can monitor availability yourself.
A defined response with sub-second detection and clear communication during any event.
A published record of availability against the 99.9% SLA.
A walkthrough of the availability architecture and fail behaviour for your operations team.
We will walk your operations team through the availability architecture, the fail behaviour, and the numbers behind the SLA.