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Financial activity that threatens national stability can weaken security, slow economic development and reduce public confidence. These impacts are especially significant in vulnerable environments. Traditional鈥痑pproaches to assessing national level financial risks鈥痑re often infrequent, subjective and unable to keep pace with fast鈥痚volving鈥痳isks.鈥�

Our solution聽

A鈥痯latform鈥痶o support the鈥痗ollection,鈥痑nalysis鈥痑nd dissemination鈥痮f financial intelligence products鈥痜or Papua New Guinea. The platform is鈥痗alled Kundu鈥痑nd aims to strengthen and enable a framework for effective financial intelligence gathering to inform an evidence-based risk management approach to the supervision of reporting entities as well as supporting investigations and prosecuting financial crimes in Papua New Guinea and cross borders.鈥�

The Digital鈥痯latform is designed and developed via a close, on-going partnership with the Bank of Papua New Guinea鈥檚 FASU (Financial Analysis and Supervision Unit 鈥� PNG鈥檚 Financial Intelligence Unit),鈥痑nd supported by DFAT. It鈥痠s a world鈥痜irst system that transforms how countries understand and respond to evolving financial risks.

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Data-driven assessment

Integrates extensive datasets from transactions, company registries and government systems to deliver鈥痳eal鈥痶ime, detailed insights.

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Employs advanced machine learning to detect patterns,鈥痑nticipate鈥痚merging threats and guide targeted interventions across institutions, products, and regions.

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Long鈥痶erm鈥痗apability development

Strengthens digital鈥痚xpertise鈥痑nd institutional independence within PNG, ensuring sustainable, long-lasting impact.鈥�

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Regional leadership

Positions PNG as a pioneer in modern digital risk assessment, offering a model adaptable to other鈥痡urisdictions.鈥�

This聽IS4SSR initiative聽is聽funded as聽a聽proof-of-concept program designed to聽demonstrate聽feasibility, measurable聽impact聽and scalability. Early success is expected to drive聽long term聽expansion across Pacific nations, with potential application in other vulnerable environments and relevant intelligence organisations worldwide. The model is designed for growth聽and the opportunity to scale is both strategic and聽timely. Early success is expected to drive聽long term聽expansion across Pacific nations, with potential application in other vulnerable environments and relevant intelligence organisations worldwide, extending well beyond PNG.

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