India’s
regtech and fraud prevention industry,
in focus.

Credit Card Fraud Detection Gaps

38.5% of this theme group

Researchers highlight weaknesses in current credit‑card security and payment monitoring systems.

Credit card fraud (41) · Credit card (40) · Computer security (17) · Payment (8)

Credit Card Fraud Detection Using Advanced Machine Learning Techniques

Credit Card Fraud Detection and Analysis

Big‑Data Audit Challenges

35.0% of this theme group

Studies point to difficulties scaling fraud detection and audit processes with massive financial datasets.

Financial fraud (12) · Big data (4) · Audit (4) · Computer security (11)

Cost-Sensitive Model Evaluation Approach for Financial Fraud Detection System

Fraud Detection and Prevention by using Big Data Analytics

Pattern‑Recognition Limitations

18.8% of this theme group

Papers note shortcomings of existing anomaly‑detection models for financial transaction analytics.

Pattern recognition (2) · Financial fraud (5) · Anomaly detection (2) · Analytics (2)

Advanced Fraud Detection Using Machine Learning Techniques in Accounting and Finance Sector

Fraud Detection in Financial Transactions using Machine Learning - A Comparative Study

Money‑Laundering Compliance Issues

7.7% of this theme group

Works expose persistent obstacles in applying technology to anti‑money‑laundering controls.

Money laundering (8) · Financial system (2) · Cash (2) · Financial transaction (2)

Recalibrating the Banking Sector with Blockchain Technology for Effective Anti-Money Laundering Compliances by Banks

Anti-money laundering practices in banks: customer’s awareness and acceptance in India

Security Risks of Autonomous AI

44.4% of this theme group

Authors caution that self‑directed AI systems may introduce new fraud‑related vulnerabilities.

Computer security (3)

Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments

Adoption of artificial intelligence-based credit risk assessment and fraud detection in the banking services: a hybrid approach (SEM-ANN)

Data Integrity in Credit‑Card Models

27.8% of this theme group

Research warns that skewed or poor‑quality data can undermine credit‑card fraud detection accuracy.

Credit card fraud (4) · Credit card (4) · Database transaction (2)

Credit Card Fraud Detection on the Skewed Data Using Various Classification and Ensemble Techniques

Assessing and Improving Data Integrity in Web-Based Surveys: Comparison of Fraud Detection Systems in a COVID-19 Study

AML Measures Impact on Costs

16.7% of this theme group

Studies advise careful assessment of anti‑money‑laundering tech due to potential cost and security trade‑offs.

Computer security (2)

The impact of anti-money laundering measures on remittance costs: moderating role of frontier technology

CDR Analysis To Mitigate Fraud Detection

Machine‑Learning for Insurance Fraud

22.6% of this theme group

Extensive work explores supervised models, especially support vector machines, to improve insurance fraud identification.

Support vector machine (21) · Insurance fraud (11) · Pattern recognition (13) · Undersampling (8)

Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention

Insurance Fraud Detection using Machine Learning

Graph‑Based Transaction Analysis

21.0% of this theme group

Researchers pursue graph techniques to uncover complex fraud patterns within banking databases.

Database transaction (76) · Graph (21) · Financial fraud (32) · Database (14)

Fraud Detection in Banking Transactions Using Machine Learning

Fraud Detection in Financial Transactions: A Machine Learning Approach

Ensemble Methods for Card Fraud

18.6% of this theme group

Papers propose stacking and feature‑selection ensembles to boost credit‑card fraud detection performance.

Credit card (153) · Credit card fraud (151) · Database transaction (35) · Computer security (36)

Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach

Efficient Credit Card Fraud Detection Based on Multiple ML Algorithms

AI‑Enhanced Risk Management

12.2% of this theme group

Studies focus on AI tools that integrate anomaly detection into broader financial risk‑management frameworks.

Financial fraud (25) · Risk management (10) · Computer security (31) · Anomaly detection (14)

AI-Driven Fraud Detection in Banking: Enhancing Transaction Security

Harnessing AI for Fraud Detection and Prevention in Finance and Banking

Real‑Time Card Fraud Prevention

11.6% of this theme group

Work emphasizes fast, machine‑learning pipelines for detecting fraudulent card transactions at the point of payment.

Credit card fraud (103) · Credit card (97) · Computer security (27) · Payment (19)

Credit Card Fraud Detection using Machine Learning Algorithms

Credit Card Fraud Detection using Machine Learning Methods

Blockchain for KYC Transparency

8.2% of this theme group

Research investigates decentralized ledgers to secure identity verification and improve KYC processes.

Blockchain (46) · Computer security (33) · Transparency (12) · Authentication (7)

Blockchain-based Decentralized KYC Verification Framework for Banks

E-KYC System Using Blockchain

Random‑Forest Decision Models

5.9% of this theme group

Papers explore tree‑based classifiers to enhance detection of credit‑card fraud with interpretable results.

Random forest (46) · Credit card (50) · Credit card fraud (46) · Decision tree (10)

Credit Card Fraud Detection using Machine Learning and Deep Learning Techniques

Credit Card Fraud Detection Using Selective Class Sampling and Random Forest Classifier

Bengaluru

28.0% across the displayed hubs

7 companies hiring · $318.1M disclosed funding

Mumbai

22.3% across the displayed hubs

3 companies hiring · $6.6M disclosed funding

Delhi

10.4% across the displayed hubs

0 companies hiring · $314.4K disclosed funding

Pune

10.4% across the displayed hubs

2 companies hiring · $91.9M disclosed funding

Gurugram

8.8% across the displayed hubs

4 companies hiring · $4.4M disclosed funding

Hyderabad

8.3% across the displayed hubs

0 companies hiring · $26.2M disclosed funding

Chennai

6.2% across the displayed hubs

4 companies hiring · $1.5M disclosed funding

Noida

5.7% across the displayed hubs

1 companies hiring · $0 disclosed funding