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Machine Learning Anti-Raid
Raids happen fast and bypass static rules. Nighthawk analyzes join patterns and threat signals in real time, automatically neutralizing attacking bot clusters, raising server alert states, and sharing confirmed threats with the Global Watchlist.
Set up Machine Learning Anti-RaidMachine Learning Anti-Raid · simulation
Joins, scored as they arriveSensitivity: medium
Waiting for joins.
Server level: off
#mod-alerts
No alerts yet.
What you get
- Real-time Machine Learning heuristic analysis
- Automated parallel massbans for detected raid clusters
- Cross-community threat intelligence sync via Global Watchlist
- Configurable sensitivity and custom logging channels
How it works
Machine Learning watches joining patterns in real time to identify abnormal waves and coordinated malicious accounts without needing static join-count limits.
Choose your mitigation response: massban the entire cluster, kick attackers, quarantine for 24 hours, or send staff alerts.
Confirmed raid accounts are synced to the Global Watchlist, protecting other participating communities instantly.