Fraud Prevention vs Financial Inclusion

Implement risk-based, tiered KYC using alternative data sources to extend access without weakening AML/CTF controls.

CyberTRIZ analysis · Banking contradiction F034 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

FATF EU_GDPR EU_AI_ACT NIST_AI_RMF NIST_PRIVACY_FRAMEWORK

Business Context

Strict fraud controls protect the banking system but may unintentionally prevent legitimate customers with limited digital history or unconventional financial behaviour from accessing banking services.

Banking TRIZ Resolution

Apply proportionate, risk-based verification supported by alternative identity data, behavioural monitoring, and continuous customer assessment instead of uniform controls.

Recommended Banking TRIZ Principles

Principle 1 - Segmentation

Principle 15 - Dynamics

Principle 23 - Feedback

Principle 40 - Composite Materials

Expected Outcome

Better financial inclusion

Lower fraud

Fairer customer treatment

Stronger risk management

TRIZ principles applied

P1 SegmentationP15 DynamicsP23 FeedbackP40 Composite Materials

Controls that address this (13)

FATF-AML-001 - Implement Risk-Based AML/CFT Approachoperational · critical priority · Implement a risk-based approach to AML/CFT covering: national risk assessment awareness, institutional risk assessment, risk-based allocatio FATF-CDD-001 - Implement FATF-Standard Customer Due Diligenceoperational · critical priority · Apply CDD measures to all customers: identify and verify customer identity, identify beneficial owners, understand the purpose of the busine FATF-R1-001 - Institutional AML/CFT Risk Assessmentgovernance · critical priority · Conduct a comprehensive institutional AML/CFT risk assessment covering: products and services, customer types, delivery channels, and geogra