H3M open intelligence

See the reporting landscape.Read the signal carefully.

Explore official suspicious activity reporting volumes across the United States and Canada—built for compliance teams, researchers and risk leaders.

CoverageUSA + CanadaTwo official reporting regimes, one careful lens.
Official sourcesFinCEN
Official sourcesFINTRAC
Public-data snapshot ready
01 / DATA EXPLORER

Suspicious reporting activity

Signals, not scores. Filing volume is not proof of criminal activity or a jurisdiction risk rating.

Country
Source FinCEN
Loading coverage

SAR filings by state

Displayed filing locations0
Preparing official boundary data…
State counts generally reflect where reported activity occurred. A filing may contain multiple locations.
02 / READ THE SIGNAL

Useful context before conclusions

The atlas makes public reporting patterns easier to explore while keeping the limits of the underlying data visible.

01

Reporting intensity is not crime intensity.

SARs and STRs record suspicion reported by regulated entities. Higher volumes can result from a larger customer base, stronger controls, sector concentration or different filing practices.

02

Location means different things.

FinCEN generally maps where activity occurred, with fallback rules. FINTRAC’s open data locates the reporting entity. The two maps are informative but not directly equivalent.

03

Aggregation is deliberate.

Canada uses non-overlapping one-character postal groups to avoid double counting. Northwest Territories and Nunavut remain combined because both share the “X” prefix in this release.

04

Time coverage is explicit.

The USA view uses FinCEN’s 2014–2024 filing trend workbooks. Canada uses complete calendar years 2012–2023 from FINTRAC’s public monthly dataset.

03 / SOURCE REGISTER

Trace every layer to its origin

Public, reproducible sources. No proprietary risk labels and no individual SAR or STR records.

FROM PUBLIC SIGNAL TO OPERATING CONTROL

Use the atlas to start a sharper compliance conversation.

H3M helps financial institutions connect monitoring, investigations, explainability and evidence-first AI across the control lifecycle.

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