Design a real-time per-action bot scoring system to detect automated abuse

• Adapt to bots that actively evolve to evade detection
• Correct the labeling feedback loop that skews training data
• Score high-throughput traffic within a strict 100 ms latency budget

• Multi-stage cascade
• Feature-family rotation
• Held-out campaign observation