Detection volume is an easy metric to inflate. The harder and more important challenge is delivering outputs that frontline teams can trust enough to act on quickly.
That usually requires a layered model. AI broadens the search surface and prioritizes what matters, while validation protects trust and keeps findings usable for investigators, claims leaders, and legal stakeholders.
The result is better than brute-force alerting. Teams can raise throughput and maintain signal quality at the same time.
That matters because investigation economics are shaped by more than hit rate. They are shaped by queue quality, reviewer confidence, escalation discipline, and how often a finding actually changes next-step behavior.
The teams that win do not just generate more alerts. They generate more action-worthy alerts and present them in a form the rest of the organization can stand behind.