High-volume threat detection systems (phishing, malware, intrusion detection) must scan massive streams of events. There is a cost tradeoff between analyzing data at scale and accuracy.

• Problem: Every event runs full model inference, even low-risk traffic
• With moco: Early-exit on high-confidence benign or malicious patterns
• Impact: Increased coverage under fixed compute budget
• Outcome: More threats evaluated per second -> reduced risk for organizations