Broad Service Accessibility vs Fraud Prevention
Apply risk-based AI fraud scoring under EU AI Act high-risk system controls, reserving strong verification only for genuinely elevated-risk transactions.
CyberTRIZ analysis · SmartCity contradiction C11-SC029 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Municipal services should remain easy to access for all citizens regardless of age, ability, language, or technical experience. At the same time, governments must prevent fraudulent applications, identity theft, abuse of public benefits, and unauthorized access to sensitive information. Simplifying access may unintentionally create opportunities for fraud, while stronger verification procedures may reduce accessibility. Municipalities must protect public resources without discouraging legitimate users.
Smart CityTRIZ Resolution
Municipalities should implement intelligent fraud detection based on behavioral analytics, risk scoring, digital identity verification, and continuous monitoring instead of relying exclusively on rigid access controls. High-risk activities receive stronger verification while legitimate users experience simplified interactions.
Applicable TRIZ Principles
Principle 3 – Local Quality applies fraud controls according to transaction risk.
Principle 23 – Feedback continuously monitors user behavior to identify suspicious activity.
Principle 35 – Parameter Changes adjusts verification requirements dynamically based on operational conditions.
Expected Outcome
Reduced fraud
Improved accessibility
Better citizen experience
Stronger public confidence
Decision Indicators
Early indicators that fraud controls require adjustment include:
Fraud attempts continue increasing.
Legitimate citizens experience unnecessary verification delays.
Service abandonment rates increase during identity validation.
False-positive fraud alerts become frequent.
Public confidence in digital services declines.
Monitoring these indicators supports secure and accessible municipal services.