Anatomy of a mule network: patterns across the account lifecycle
How mule accounts are recruited, activated and exhausted, and the detection signals available at each stage.
Our publications are written for three readers: the practitioner who needs to act, the policymaker who needs to decide, and the researcher who needs to check the work. The first set is in preparation; subscribe below to hear when each is released.
How mule accounts are recruited, activated and exhausted, and the detection signals available at each stage.
A framework for testing warnings, delays and confirmation steps against their cost to genuine customers.
Models for collaborative detection that respect data-protection obligations, and their trade-offs.
Three audiences, three different definitions of "explained", and a practical template for each.
A method for estimating how blocked transactions and frozen accounts fall across customer segments.
Which controls degrade when voice, face and documents can be synthesised, and what should replace them.
What victims experience after reporting fraud, and where institutions can reduce secondary harm.
A study design for measuring which fraud warnings change behaviour among first-time digital users.
Why new users face different threats, and onboarding patterns that protect them without excluding them.
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