The Hunt-to-Detection Gap: Choosing an AI Threat Hunting Solution in 2026
Brief
If you’re in the market for an AI threat hunting solution, chances are you’re evaluating based on investigation quality. That’s an understandable and reasonable metric to go on – investigation quality is important, and most vendors focus their marketing on it.
It’s not, however, the most important metric. Pretty much every vendor has decent investigation quality. If they didn’t, they wouldn’t be competitive, and you wouldn’t be considering them.
You need to be looking at what happens after the investigation. Does a validated finding survive handoff into a live, tuned detection rule? Or does it become a case report that sits in a queue until someone manually rediscovers the same technique next time around?
This is called the hunt-to-detection gap, and it makes the difference between a tool you should consider, and one that’s not worth wasting budget on.