Behavioral detection, not bans
Tashi analyzes behavioral signals with per-signal confidence thresholds. High-confidence violations are auto-flagged. Borderline cases enter a review queue.
Detection signals and metrics
Each signal targets a category of suspicious behavior. Configure active signals and their sensitivity.
Velocity anomaly
Detects anomalous player velocity during a session.
Position teleport
Detects anomalous position changes during a session.
Input timing irregularity
Detects irregular patterns in input timing.
Stat outlier pattern
Detects outlier patterns in player statistics.
Tune sensitivity to your game
Configure each signal's confidence threshold for your game. Adjust thresholds to change review sensitivity.
Threshold changes apply to new sessions only. Existing sessions keep their original configuration.
Tashi.anticheat.configure({
signals: {
velocityAnomaly: {
enabled: true,
threshold: 0.92 // 0-1
},
positionTeleport: {
enabled: true,
threshold: 0.99
},
inputTiming: {
enabled: true,
threshold: 0.80
}
},
reviewQueue: true
});Detection pipeline
High-confidence cases are auto-flagged. Borderline cases enter a review queue.
Add Tashi anti-cheat
Community anti-cheat ruleset included on Dev tier.