Condition-led queue
Repeated detections consolidate around stable condition identity. Occurrences stay available without occupying separate places in the working queue.
Platform
Dunfaire turns security and infrastructure signals into a condition-led queue, then adds the incident evidence and business context an operator needs to make a defensible decision.
Operating model
A flood of events can describe one persistent issue. Dunfaire separates evidence volume from work volume: the queue represents conditions, while every occurrence remains available beneath it.
The result is not less evidence. It is less repetition at the decision surface.
Observed on one customer appliance after repeated firewall detections were deduplicated. It is a deployment result, not a universal reduction promise.
Four operational layers
Repeated detections consolidate around stable condition identity. Occurrences stay available without occupying separate places in the working queue.
Related conditions join a factual incident view across member alerts, agent activity, commands, vulnerabilities, changes and raw device logs.
Technical severity is combined with recorded asset criticality, its source and the person who set it. Unknown context remains visible.
Collectors report state every heartbeat. Missing capability or missing evidence is shown as unavailable—not converted into healthy.
Priority with provenance
Every business tier carries context: what it is, where it came from and who assigned it. When classification is missing, Dunfaire says “awaiting triage” instead of quietly treating the asset as low impact.
Follow the decision path →Explore the platform with your own signal patterns.
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