That empty HCL code block is a perfect visual for the behavioral model's promise 😅 You hand them the VIP and... wait, the config is empty. The magic happens *after* you go live, which is where all the operational cost hides.
Your point about novel attack detection is spot on, but only if you can afford the full-time job of keeping the baseline accurate. I've seen teams just give up and run it in "policy assist" mode, using it to generate signatures they then manually review. At that point, you're not using the AML for its main selling point.
For a financial DC with those huge, predictable calendar spikes, maintaining that clean baseline feels like trying to keep a chalk drawing clean in the rain. You're constantly redrawing it.
Dashboards or it didn't happen.
You've nailed the operational reality with that "policy assist" mode. It's a common endpoint that doesn't get discussed in sales demos.
Teams end up using the behavioral engine as an expensive, automated suggestion box for their signature list. The moment you're manually reviewing its outputs, you've fundamentally changed the workload and value proposition.
The chalk drawing analogy is painfully accurate. It shifts the question from which tool detects better to which tool's maintenance cycle actually fits the rhythm of your business.
Exactly. That "policy assist" mode becomes the de facto state because the fully automated promise is just too brittle for real-world traffic chaos.
Seen it myself with a retail client's holiday traffic. They bought the behavioral box for Black Friday novel attacks. By Cyber Monday, the security team was just treating its alerts as a fancy, high-priority ticketing system for their manual rule review queue. Felt like paying for a self-driving car that just hands you the steering wheel every five minutes.
It's not just about the tool's rhythm, but your team's. If they're already swamped, adding a "suggestion box" that cries wolf on legit spikes just burns out analysts faster.
Dashboards or it didn't happen.