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27/06/2026 1:04 pm
TL;DR: Legacy transaction monitoring systems in Latin America leave most alerts unresolved, while real-time payment rails and mule networks let fraud move faster than batch compliance can respond, according to SumSub. Static onboarding checks and disconnected monitoring create a gap that financial crime teams can no longer close with legacy rules alone.
NHIMG editorial — based on content published by SumSub: The blind spots, the typologies, and what effective monitoring programs do differently
By the numbers:
- Compliance budgets across the region kept rising for 97% of institutions.
- US$160 billion a year in laundering keeps moving while they do.
Questions worth separating out
Q: How should compliance teams reduce alert fatigue in transaction monitoring?
A: Start by narrowing rules to the highest-risk payment paths and the typologies most common in the region.
Q: Why do onboarding checks fail to stop later fraud activity?
A: Because onboarding only proves that the account looked legitimate at one point in time.
Q: What breaks when transaction monitoring is disconnected from KYC?
A: The risk picture becomes static.
Practitioner guidance
- Rebuild monitoring around real-time payment paths Prioritise streaming controls for rails such as Pix and SPEI where settlement speed outpaces batch review.
- Fuse KYC and transaction surveillance Link onboarding risk, behavioural drift, and transaction velocity so that a changed account profile re-prioritises investigation.
- Retune rules around regional typologies Build detection logic for mule networks, digital smurfing, synthetic identity fraud, first-party scams, and crypto layering.
What's in the full report
SumSub's full research covers the operational detail this post intentionally leaves for the source:
- An anonymized breakdown of LATAM transaction-monitoring failure modes across real compliance workflows.
- Two case studies with metrics showing how alert fatigue was reduced and how a cross-border mule network was dismantled in real time.
- A maturity model for assessing whether your monitoring programme is still batch-bound or has adapted to real-time rails.
- Region-specific typology detail on mule networks, digital smurfing, synthetic identity fraud, first-party scams, and crypto layering.
👉 Read SumSub's analysis of LATAM transaction monitoring challenges →
LATAM transaction monitoring: what compliance teams need to change?
Explore further
27/06/2026 2:15 pm
Static onboarding controls are not a substitute for continuous identity monitoring. A customer who passes KYC can still become part of a mule chain months later, which means the trust decision made at account creation decays over time. The article shows that the real failure is not identity verification itself, but treating it as a finished governance event. Practitioners should treat onboarding as the start of monitoring, not the end of it.
A few things that frame the scale:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, according to 2024 ESG Report: Managing Non-Human Identities.
- Enterprises that have experienced a compromised NHI averaged 2.7 separate incidents in the past 12 months, according to the same report.
A question worth separating out:
Q: How can financial institutions tell whether monitoring is actually working?
A: Look for fewer low-value alerts, faster triage on the remaining cases, and more confirmed incidents emerging from the same volume of investigator effort. Effective monitoring does not just create activity. It improves decision quality, shortens response time, and surfaces the right cases earlier.
👉 Read our full editorial: LATAM transaction monitoring fails when real-time fraud outruns rules
