Central Bank of Ireland Co-Develops Next-Gen AML and Fraud Solutions
The Central Bank worked with industry partners inside NayaOne’s sandbox to accelerate testing of privacy-preserving financial-crime solutions under real regulatory oversight.
Outcomes
4x
Faster AML Model Validation
70%
Reduction in Manual Compliance Cycles
2x
Detection Accuracy Improvement
$100k
Average PoC Cost Saving Per Vendor
Technology Vendors Suited to Evaluation
Business Problem
Traditional anti-financial crime frameworks are fragmented and slow to adapt to emerging risks.
Banks, fintechs, and regulators operate in isolated compliance environments, leading to data-sharing gaps, duplicated controls, and inconsistent supervision.
Meanwhile, privacy laws like GDPR restrict data movement, limiting the ability to test or deploy AI-driven AML and fraud-detection tools.
Challenges
- Fragmented AML/CFT systems across institutions limiting holistic visibility
- Privacy and data-sharing constraints under GDPR
- Lengthy compliance validation cycles delaying innovation adoption
- Limited regulatory clarity on emerging technologies like PETs and AI in AML
- Lack of safe testing environments for multi-party collaboration
From Idea to Evidence with NayaOne
The Central Bank of Ireland (CBI) ran its first Innovation Sandbox Programme (Dec 2024 – Jun 2025) themed Combatting Financial Crime, hosted entirely on NayaOne’s digital sandbox platform.
Seven selected participants – including banks, fintechs, and data/privacy-tech firms – collaborated under regulatory supervision to test next-generation AML, KYC, and fraud-detection models using synthetic data and pre-integrated APIs.
Key testing activities included:
- Building privacy-preserving AI models for AML and fraud detection
- Testing information-sharing and data exchange frameworks under GDPR compliance
- Validating zero-knowledge proof identity systems for secure onboarding
- Measuring accuracy and explainability of risk-scoring algorithms
- Capturing regulatory insights on how AI and synthetic data can strengthen AML oversight
Impact Metrics
PoC Timeline Reduction
7 months with NayaOne vs 12 - 18 months traditionally
Time Saved in Vendor Evaluation
1+ year
Decision Quality
Higher confidence in regulatory readiness and AI model explainability through structured, auditable testing.
KPIs
- Detection accuracy: Precision and recall of AI-driven AML and fraud models
- Compliance readiness: Time to validate model alignment with regulatory expectations
- Data privacy assurance: Zero data leakage incidents or GDPR non-conformities
- Development cycle reduction: Time saved from prototype to regulatory validation
- Cross-institutional collaboration: Number of institutions and regulators co-testing
Explore How Regulators and Banks Co-Test Financial Crime Solutions Safely
See how synthetic data, AI, and privacy-enhancing technologies are enabling next-generation AML and fraud prevention inside NayaOne’s sandbox environment.
