Security & Threat Intelligence · 25.07.2026, 15:30 UTC
The Hunter's Paradox: Is it time to embrace automated threat hunting?
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | Cisco Talos ↗ |
| Veröffentlicht | 25.07.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Should we let AI run our threat hunts? The debate usually splits into two camps. One says, "Yes, obviously! The sheer scale of our security telemetry is impossible for humans to deal with." The other says, "Absolutely not! You can't trust an AI with something this important." The thing is, I think both are wrong, or at least incomplete. I've spent a long time as one of the louder voices saying that hunting is specifically a human-driven process. I created the first widely recognized definition of threat hunting back in 2015, and the version I'd have given you until very recently put a human firmly at the center of it. But lately I've been reconsidering the role of AI in threat hunting. So this post is, in part, me arguing with my past self. We're facing what I call the Hunter's Paradox: Humans can no longer keep up with the volume and velocity of security data on their own, so we need to lean on automation. But the most capable automation available, AI, is exactly the kind we can't fully trust. Both are true at once, and that tension is what I've been wrestling with for a while. We can’t resolve it cleanly by picking either side, so let's take them in turn, starting with the human element. Humans have a numbers problem So why not just keep humans in the driver's seat and call it a day? Because that math stopped working a long time ago. When I started in this field about 30 years ago, the conventional advice was that system administrators should read all their logs every day. It probably wasn't realistic even then, and it has been thoroughly impossible for most of my …