Fraud rule management: strategy, behavioral and trend rules need different owners and cadences

We talk about fraud rules all the time, but I rarely hear anyone ask what we actually mean by the word. What are rules for, who should write them, and how often should they be reviewed? Over the course of my career, I've found that fraud rule types fall into three distinct categories, and most teams manage all of them the same way. That habit quietly costs a lot. Teams end up over-monitoring some rules, under-monitoring others, handing ownership to the wrong people, and expecting rules to perform in ways they were never designed for.

In this episode, I walk through strategy rules, behavioral rules, and trend rules, and explain how each one is written, measured, and owned. If you manage a rule engine, or you're responsible for how a fraud team spends its time, this is a practical way to organize that work.

What you'll hear in this episode:

• Why the three fraud rule types need different monitoring cadences, different owners, and different success criteria
• How ML score fraud rules and threshold fraud rules segment your population into approve, decline, and step-up groups
• Why changing one threshold in a strategy ruleset often means adjusting the others, and why those rules should be measured as a set
• How behavioral rules fraud teams write, including velocity rules fraud examples, can catch several rings with the same MO without overfitting to one attack
• What compound fraud rules look like in practice, including a device fingerprint fraud rules example that combines email risk, a new device, and a country mismatch
• Why trend rules are your fastest and most accurate tool at first, and why they degrade so quickly
• How the fraud rule lifecycle should work, with narrow rules acting as a stopgap while stronger defenses take over
• What goes wrong with fraud rule prioritization when every rule gets the same attention

You should listen to this episode if you:

• Manage a rule engine and want a clear framework for how to write fraud rules that fit their purpose
• Are building or restructuring a fraud team and need to decide which team should own which rules
• Want to improve fraud rule deployment by tying strategy rules to your model release process
• Keep adding narrow rules to stop attacks and are worried about the false positives piling up
• Rely on a vendor model and need to know what to ask them for when setting thresholds