Read-only view: browsing is open, changes need a signed-in user.
Staging: test environment for new releases. Data may be reset; do not share from here.
WatchtowerSignicat competitor intelligence

Feed

Reset
BioCatch· 21 Oct 2026 L2 · Minor

BioCatch reports 25% rise in U.S. community bank mule sessions

U.S. community banks and credit unions report increase in money laundering sessions ↗

What happened

  • U.S. community banks and credit unions saw a 25% increase in digital banking sessions in which the user attempted to launder money between H2 2025 and H1 2026, per BioCatch.
  • BioCatch reports average mule transfer value rose 27%.
  • BioCatch reports fraud sessions fell 11% and bot activity fell 15% over the same period.
  • More than 250 financial institutions contributed to the dataset, all of which are BioCatch customers.
  • The report includes a case study following one U.S. credit union retail account over 40 days, which BioCatch says was identified as a money mule.

Why it matters to Signicat

  • Mule-account behavioral detection in community banks is a direct overlap with Signicat's fraud and AML screening offerings, and BioCatch is positioning behavioral analytics for this segment.
  • Vendor-run dataset with no published methodology beyond sample size; figures are BioCatch-reported and not independently verified.
Evidence from the source (7 quotes)
  • “Between the second half of 2025 and the first half of 2026, U.S. community banks and credit unions saw a 25% increase in the number of digital banking sessions during which the user attempted to launder money.” source ↗
  • “The average value of those mule transfers increased by 27%.” source ↗
  • “While mule sessions at community banks and credit unions increased in 2026, both the number of fraud sessions (-11%) and bot activity (-15%) declined.” source ↗
  • “More than 250 financial institutions contributed to this dataset. All sampled institutions work with BioCatch” source ↗
  • “The report also includes a case study following a single U.S. credit union retail account over a 40-day period, showcasing how behavioral intelligence helped to identify that account as a money mule.” source ↗
  • “BioCatch prevents fraud and financial crime by recognizing patterns in human behavior” source ↗
  • “More than 250 financial institutions contributed to this dataset.” source ↗
Fraud deepfake injectionAML KYB screeningResearch reportGlobal

5 of 5 facts verified against the source · confidence medium · claude-haiku-5-5