How is vulnerability defined across the fraud system?
Background
A better understanding of the different vulnerabilities would support policy development and
operational activity to be focused on the areas that pose the greatest risk. This would be valuable both at a strategic level and when considering activity within different sectors of the economy.
The ARIs in this question group focus on the areas where further information would be particularly valuable to build on our existing understanding of the vulnerabilities in the UK. The key question relevant across all crime types here would be what the key vulnerabilities are that can be exploited by criminals engaging in economic crime.
Next steps
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Source
This question was published as part of the set of ARIs in this document:
Economic Crime Areas of Research Interest ARI report July 2025 1
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Related UKRI funded projects
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Fraud During a Pandemic: Identifying and Appraising New Challenges for the Criminal Justice Response in England and Wales
The global Covid-19 pandemic has presented new opportunities for those looking to commit fraud, capitalising on new vulnerabilities (of systems, organisations, and members of the population), propelled by sophisticated c...
Funded by: COVID
Lead research organisation: University of Bristol
Why might this be relevant?
The project specifically focuses on identifying vulnerabilities in the fraud system during the pandemic, providing a comprehensive analysis.
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FRAUDSIM: A fraud control optimisation tool for readjustment to the new normal
The importance for our society to reduce criminal profit and deter future generations from finding financial crime as a rewarding lifestyle is one of the key aspects that we are envisioning to contribute with this projec...
Funded by: Innovate UK
Lead research organisation: FINCRIME DYNAMICS LTD
Why might this be relevant?
The project addresses the evolution of fraud during the pandemic and the need for new fraud control tools, partially relevant to the question.
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Financial crime vaccines
Trustworthy AI is a set of principles and practices to ensure that AI systems are transparent, unbiased, and reliable. In financial crime analytics, AI-based solutions are increasingly used to detect fraudulent activitie...
Funded by: Innovate UK
Lead research organisation: FINCRIME DYNAMICS LTD
Why might this be relevant?
The project focuses on trustworthy AI in financial crime analytics, which is partially relevant to understanding vulnerabilities in the fraud system.