Financial Crime & Compliance

Fighting financial crime
requires more than
software.

Financial institutions face a constant and evolving threat, from money laundering and fraud to complex cross-channel attacks. The tools exist to detect them. What most institutions lack is the expertise to configure, tune and operate those tools effectively. That is where Belleron comes in.

Learn about the SECURE® method →

The challenge

The gap between detection
and effective protection.

Most financial institutions have monitoring systems in place. The problem is not the absence of technology. It is that generic configurations generate too many false positives, miss institution-specific risks, and leave compliance teams overwhelmed and under-protected.

Belleron addresses this with the SECURE® method: a structured, risk-based approach that starts with understanding the institution, its customers and its specific threat landscape, and builds detection logic that is both precise and defensible to regulators.

Too many false positives

Generic detection rules generate alert volumes that compliance teams cannot meaningfully investigate, hiding real threats in noise.

Regulatory exposure

Without a documented, risk-based methodology, institutions cannot demonstrate to regulators that their detection is fit for purpose.

Institution-specific blind spots

Off-the-shelf configurations are not designed around your customer base, product mix or geographic exposure, leaving gaps that sophisticated criminals exploit.

The SECURE® method

A structured path from
risk to detection.

SECURE® is Belleron's proprietary methodology for designing, implementing and operating financial crime detection systems. Rather than applying generic rules, SECURE® starts with a deep understanding of the institution and works outward, identifying risks, prioritising them against the institution's specific profile, and building detection logic that is precise, efficient and audit-ready.

Phase 0

Institution Profile

Mapping customer groups, products and channels to establish the full scope of the institution's exposure.

Phase 1

Risk Identification

Scoring and prioritising risks from a comprehensive baseline list, refined by the institution's specific profile and risk appetite.

Phase 2

Risk Typology

Mapping prioritised risks against customer groups and channels, distinguishing between placement, layering and integration for AML.

Phase 3

Systems & Controls

Documenting existing controls, identifying gaps and establishing the monitoring matrix, the basis for all detection configuration.