Architecture comparisonClassic anticheats react.
Classic anticheats react.
hoaxeye weighs the signal.
Most FiveM anti-cheat tools are built on a simple idea: one detection fires, one ban follows. That works as long as you only need to catch obvious cheats — and accepts false positives as collateral. Hoaxeye is built differently: as an anti-cheat operations platform that puts every detection in context, weights it, and documents it with evidence. You stay in control of when a detection turns into action.
Axis
Classic anticheats
hoaxeye
AxisDetection trigger
Classic anticheatsOne detection triggers an action directly
hoaxeyeRisk score from multiple signals, thresholds per rule
AxisEvidence
Classic anticheatsRaw logs, manual filtering, cross-reading
hoaxeyeEvidence timeline with weighted signal contributions
AxisData foundation
Classic anticheatsServer isolated — only its own history
hoaxeyeIdentity and partner intelligence across servers
AxisWorkflow
Classic anticheatsManual log analysis, Discord snippets
hoaxeyeOperations dashboard with review queue and filters
AxisAction model
Classic anticheatsAuto-ban as default, hard to walk back
hoaxeyeObserve → Score → Enforce, configurable per rule
What that means in practice
You see why a decision was made, can catch false positives early, and document ban decisions cleanly — before they become a problem. Instead of a tool you get a platform that works alongside your mod team.
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