the United Kingdom’s
regtech and fraud prevention industry,
in focus.

Regulatory gaps in AML/CFT

36.6% of this theme group

Researchers highlight weaknesses in legislation and enforcement that allow money laundering and terrorism financing to persist.

Money laundering (553) · Terrorism (127) · Legislation (79) · Financial system (61)

Evaluating Anti-Money Laundering Initiatives: A Country Perspective¹

Compliance requirements in the future EU Anti-Money Laundering and Countering the Financing of Terrorism Framework

Big‑data fraud detection challenges

25.5% of this theme group

Papers discuss difficulties scaling analytics and security measures to detect financial fraud across massive data streams.

Computer security (104) · Financial fraud (50) · Analytics (34) · Big data (34)

Design and Development of Financial Fraud Detection using Machine Learning

Fraud Detection with Machine Learning and Artificial Intelligence

Credit‑card fraud detection limits

11.6% of this theme group

Studies point to persistent vulnerabilities in card security and the need for more robust detection techniques.

Credit card fraud (166) · Credit card (160) · Card security code (17) · Computer security (57)

A Review of Credit Card Fraud Detection Using Machine Learning Techniques

Machine Learning for Credit Card Fraud Detection

Forensic accounting obstacles

8.5% of this theme group

Works examine gaps in audit practices and forensic methods that hinder effective fraud identification.

Audit (76) · Forensic accounting (36) · Accounting (68) · Forensic science (11)

Forensic accounting in financial fraud detection: Trends and challenges

Financial Auditing as an Effective Tool for Fraud Detection: A Systematic Review

Social exclusion and financial risk

7.2% of this theme group

Research connects marginalized populations with heightened exposure to financial exclusion and related regulatory challenges.

Philosophy (22) · Theology (15) · Humanities (13) · Population (7)

Stratégie a politiky územných samospráv pri riešení problémusociálne vylúčených rómskych zoskupení v ČR

MENŠTRUAČNÁ CHUDOBA RÓMSKYCH ŽIEN AKO VÝZVA PRE POMÁHAJÚCE PROFESIE / ENSTRUAL POVERTY AMONG ROMA WOMEN AS A CHALLENGE FOR HELPING PROFESSIO

RegTech adoption barriers

6.6% of this theme group

Authors note compliance complexity and risk‑analysis hurdles that slow integration of RegTech solutions.

Financial services (16) · Compliance (19) · Risk analysis (11) · FinTech (8)

FinTech, RegTech and the Reconceptualization of Financial Regulation

The use of RegTech in fighting financial crime

KYC for crypto assets

4.0% of this theme group

Papers critique current electronic KYC processes and their insufficiency for preventing illicit cryptocurrency transactions.

Blockchain (9) · Documentation (3) · Product (4) · FinTech (4)

A Survey of KYC/AML for Cryptocurrencies Transactions

THE URGENCY OF ELECTRONIC KNOW YOUR CUSTOMER (E-KYC): HOW ELECTRONIC CUSTOMER IDENTIFICATION WORKS TO PREVENT MONEY LAUNDERING IN THE FINTEC

Over‑reliance on AML frameworks

28.0% of this theme group

Scholars caution that strict regulatory strategies may overlook practical enforcement gaps and unintended consequences.

Money laundering (82) · Terrorism (16) · Enforcement (11) · Legislation (10)

The International Anti-Money Laundering and Combating the Financing of Terrorism Regulatory Strategy: A Critical Analysis of Compliance Dete

Global Anti-Money Laundering and Combating Terrorism Financing Regulatory Framework: A Critique

AI bias in fraud detection

17.4% of this theme group

Works warn that machine‑learning models can inherit biases, leading to unfair outcomes and false positives.

Financial fraud (13) · Computer security (19) · Risk management (7) · Financial services (8)

A Review on Financial Fraud Detection using AI and Machine Learning

Artificial Intelligence in fraud detection: Revolutionizing financial security

Privacy risks in deep learning

15.9% of this theme group

Researchers raise concerns about data anonymization and the potential exposure of sensitive transaction information.

Generative grammar (5) · Database transaction (6) · Random forest (4) · Computer security (8)

FRAUD DETECTION IN BANKING TRANSACTIONS WITH THE USE OF ARTIFICIAL INTELLIGENCE AND ANONYMIZED DATA

Fraud Detection Systems Using Deep Learning and Behavioral Intelligence

Statistical method limitations

11.0% of this theme group

Studies highlight that techniques like Benford’s law may produce misleading results in diverse financial contexts.

Benford's law (7) · Forensic accounting (8) · Accounting (15) · Population (5)

FRAUD DETECTION BY TESTING THE CONFORMITY TO BENFORD’S LAW IN THE CASE OF WHOLESALE ENTERPRISES

IMPACT OF FORENSIC ACCOUNTING ON FRAUD DETECTION IN NIGERIAN DEPOSIT MONEY BANKS

Audit skepticism effects

10.1% of this theme group

Papers discuss how auditor skepticism and affect can influence fraud detection reliability.

Audit (29) · Accounting (20) · Skepticism (4) · Affect (4)

The Impact of Joint Audit on Fraud Detection in Financial Statements From the Point of View of Auditors

Determinants influencing fraud detection: Role of internal auditors’ quality

RegTech governance inconsistencies

9.1% of this theme group

Authors point to uneven regulatory standards that complicate blockchain‑based compliance implementations.

Compliance (8) · Risk analysis (5) · Blockchain (5) · Corporate governance (5)

The regulatory technology “RegTech” and money laundering prevention in Islamic and conventional banking industry

The regulation of RegTech and SupTech in finance: ensuring consistency in principle and in practice

ML model robustness for cards

8.5% of this theme group

Research emphasizes the need for resilient machine‑learning systems to handle evolving credit‑card fraud tactics.

Credit card (23) · Credit card fraud (23) · Computer security (7) · World Wide Web (3)

Application of Machine Learning Techniques in Credit Card Fraud Detection

Smart Fraud Detection Leveraging Machine Learning For Credit Card Security

Advanced anomaly detection techniques

26.5% of this theme group

Opportunities focus on novel data‑mining methods that improve detection of irregular financial behaviors.

Computer security (293) · Data mining (141) · Database transaction (234) · Anomaly detection (92)

A Memory-Enhanced Framework for Financial Fraud Detection

Methods and techniques to support the development of fraud detection system

Machine‑learning credit‑card solutions

22.0% of this theme group

Studies explore cutting‑edge algorithms that boost accuracy and speed of credit‑card fraud identification.

Credit card (1,102) · Credit card fraud (1,141) · Database transaction (244) · Random forest (147)

Fraud Detection and Identification in Credit Card Based on Machine Learning Techniques

Fraud Detection of Credit Card Using Machine Learning

Ensemble learning for fraud

15.1% of this theme group

Research highlights the promise of combining multiple models to enhance overall fraud detection performance.

Database transaction (140) · Support vector machine (57) · Computer security (121) · Ensemble learning (45)

Fraud Detection using Machine Learning

A Fraud Detection System Using Machine Learning

AI‑driven risk transparency

10.3% of this theme group

Papers propose artificial‑intelligence tools that increase visibility into financial risk and reduce misconduct.

Financial fraud (101) · Risk management (51) · Computer security (132) · Transparency (51)

Ai in Fraud Detection: Evaluating the Efficacy of Artificial Intelligence in Preventing Financial Misconduct

Harnessing AI for Enhanced Fraud Detection: Reducing Financial Fraud and Securing Payment Systems

Blockchain‑based identity verification

9.7% of this theme group

Works present decentralized solutions that strengthen KYC processes and secure customer onboarding.

Blockchain (87) · Philosophy (42) · Humanities (39) · Theology (26)

Digital Identity Verification: Transforming KYC Processes in Banking Through Advanced Technology and Enhanced Security Measures

E-KYC System Using Blockchain

Data‑driven forensic auditing

9.3% of this theme group

Studies suggest leveraging analytics to enhance audit precision and uncover hidden financial crimes.

Money laundering (190) · Audit (191) · Forensic accounting (94) · Accounting (150)

Enhancing fraud detection and forensic auditing through data-driven techniques for financial integrity and security

Financial Inclusion, Financial Crime, and Fraud Detection

Graph neural networks for fraud

7.2% of this theme group

Research demonstrates how graph‑based deep learning can uncover complex fraud patterns in transaction networks.

Graph (315) · Theoretical computer science (51) · Database transaction (112) · Financial fraud (62)

Bank Fraud Detection with Graph Neural Networks

Leveraging Graph Neural Networks for Improved Fraud Detection in Financial Transactions

London

87.4% across the displayed hubs

15 companies hiring · $2.4B disclosed funding

Cambridge

3.1% across the displayed hubs

0 companies hiring · $145.4M disclosed funding

Edinburgh

2.5% across the displayed hubs

0 companies hiring · $16.6M disclosed funding

Sheffield

1.7% across the displayed hubs

0 companies hiring · $0 disclosed funding

Manchester

1.7% across the displayed hubs

0 companies hiring · $48.4M disclosed funding

Leeds

1.4% across the displayed hubs

0 companies hiring · $0 disclosed funding

Cardiff

1.1% across the displayed hubs

0 companies hiring · $7.2M disclosed funding

Belfast

1.1% across the displayed hubs

0 companies hiring · $6.9M disclosed funding