🇧🇷Brazil

Erros de Classificação de Risco e Falsos Negativos em Detecção de Atividades Suspeitas

3 verified sources

Definition

Manual SAR filing relies on analyst judgment to identify suspicious activity indicators per COAF guidelines (jurisdictional risk, PEP involvement, transaction patterns, etc.). Inconsistent application of risk thresholds results in: (1) missed alerts on structuring, cash-intensive businesses, or trade-based money laundering, (2) regulatory findings during COAF examinations, (3) enforcement actions if patterns are later discovered by regulators.

Key Findings

  • Financial Impact: Estimated enforcement findings: R$1,000,000-R$10,000,000 in regulatory sanctions; estimated staff rework (25-50 hours per missed-case remediation): R$75,000-R$150,000 per incident
  • Frequency: Quarterly/annual COAF examinations reveal classification gaps; typically 5-20 missed-case findings per exam cycle
  • Root Cause: No quantitative risk-scoring model; analyst subjectivity; lack of feedback loop from COAF enforcement findings; insufficient training on evolving typologies

Why This Matters

The Pitch: Brazilian banks lose credibility and face enforcement action when manual SAR processes miss money-laundering patterns. Standardized, rule-based risk scoring and automated alert tuning reduce decision errors and align detection with COAF typology expectations.

Affected Stakeholders

AML Analysts, Compliance Managers, Risk Officers, Internal Audit

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Financial Impact

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Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

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