The False Positive Problem Nobody Talks About
You've been there. You install an anti-cheat, restart the server, and within an hour your Discord is blowing up. "I got banned for no reason." "This anti-cheat is broken." "I've been playing here for two years and now I'm flagged?"
So you go to the developer's Discord. You explain the problem. And you get the same response every time: "Turn off module X. If that doesn't fix it, turn off module Y. Keep going until it works."
You started with an anti-cheat that advertised 40 detection modules. After a week of troubleshooting, you've disabled 35 of them. The remaining five catch the kind of blatant rage cheating that any admin with functioning eyes could spot. And you're paying for this.
Why this keeps happening
The root cause is always the same: rule-based detection with static thresholds. Each "module" checks one specific behavior against one hardcoded number. The problem is that gameplay is messy. Players do weird things. They get lag spikes. They accidentally snap to someone's head because they're adjusting their mouse. They have a moment of inspiration and land five headshots in a row.
A threshold doesn't understand context. It sees "this number exceeded this value" and fires. When you have 40 modules doing this independently, the odds of at least one of them false-triggering on any given player go way up. It's a math problem — more independent checks means more chances for each check to be wrong.
The standard fix — "turn off the modules that are causing problems" — is an admission that the detection system doesn't actually work as designed. You're not configuring it. You're amputating it.
The damage false positives do
This isn't just annoying. It's destructive. Every false ban is a player who might never come back. Regulars who get auto-banned on a Saturday night while you're offline don't post an appeal — they join a different server. Your community loses trust in the anti-cheat, which means they lose trust in the server's moderation. And dealing with appeals eats hours of admin time that could be spent actually running the community.
There's also a subtler cost: once you've been burned by false positives, you lose confidence in real detections too. When a detection fires, is this an actual cheater or another false positive? If you can't trust your own anti-cheat, you end up second-guessing everything, which defeats the entire purpose.
A different way to think about detection
The false positive problem isn't about tuning thresholds more carefully. It's about not using thresholds at all.
ChrononLabs uses a neural network that evaluates 182 general features and 68 tick-based sequence parameters per event — simultaneously. It doesn't ask "did this one number exceed this one value?" It asks "does the complete pattern of this player's behavior look like cheating?"
That's a fundamentally different question, and it produces fundamentally different results. Skilled players don't get flagged because their overall behavioral pattern still looks human, even if any single metric in isolation might look suspicious. And cheaters can't dodge detection by tweaking one parameter under a threshold because the model is evaluating everything at once.
The model was trained on thousands of verified examples from real gaming communities. It knows what legitimate high-skill play looks like because it's seen it. It knows what subtle cheating looks like because it's seen that too. The difference between the two isn't any single number — it's the shape of the entire dataset.
What "works out of the box" actually means
When we say ChrononLabs works out of the box, we mean you shouldn't have to spend a week turning things off. Install the plugin. Pick a sensitivity level. That's it.
We don't have 40 modules to toggle because we don't need them. There's one pipeline, it looks at everything, and it gives you a confidence score from 0 to 100%. You set the threshold for what confidence level triggers an action, and the model handles the rest.
If something doesn't look right, you can review the detection in the dashboard — full tick data, 3D aim replay, the works. But you shouldn't be spending your time reviewing false positives, and with ChrononLabs, you won't.