India’s
data privacy and governance industry,
in focus.

Credit Card Fraud Detection Gaps

38.5% of this theme group

Researchers highlight weaknesses in current credit‑card fraud detection and payment security methods.

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

Financial Fraud and Big‑Data Auditing

35.0% of this theme group

Papers point to challenges in auditing large‑scale financial data for fraud prevention.

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‑Based Anomaly Detection Issues

18.8% of this theme group

Studies note difficulties in applying pattern‑recognition techniques to uncover financial anomalies.

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 Detection Shortfalls

7.7% of this theme group

Works expose shortcomings of existing systems for tracking illicit cash flows and laundering activities.

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

AI Systems in Fraud Forensics

44.4% of this theme group

Authors urge caution when deploying autonomous AI for fraud detection in dark‑web and forensic contexts.

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)

Skewed Data and Credit‑Card Models

27.8% of this theme group

Researchers warn about bias and data‑quality problems affecting credit‑card fraud classifiers.

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 Remittances

16.7% of this theme group

Papers caution that anti‑money‑laundering controls may raise transaction costs and require careful technology integration.

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

Studies explore advanced ML techniques, such as support vector machines, to improve insurance fraud detection.

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

Research highlights graph models for uncovering fraudulent patterns in banking transaction 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 Models for Credit‑Card Security

18.6% of this theme group

Works propose stacking and feature‑selection ensembles to boost credit‑card fraud detection accuracy.

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

Papers present AI approaches for real‑time anomaly detection and risk assessment in financial services.

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

ML Algorithms for Payment Protection

11.6% of this theme group

Research investigates diverse machine‑learning methods to safeguard credit‑card payments from fraud.

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 and Transparency

8.2% of this theme group

Studies examine blockchain solutions to streamline KYC processes and increase data transparency.

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

Blockchain-based Decentralized KYC Verification Framework for Banks

E-KYC System Using Blockchain

Random Forests in Fraud Classification

5.9% of this theme group

Works focus on random‑forest and decision‑tree models to enhance detection of credit‑card fraud.

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

34.5% across the displayed hubs

10 companies hiring · $65.1M disclosed funding

Mumbai

14.9% across the displayed hubs

3 companies hiring · $53.9M disclosed funding

Delhi

9.8% across the displayed hubs

1 companies hiring · $393.6K disclosed funding

Pune

9.8% across the displayed hubs

2 companies hiring · $1.9M disclosed funding

Hyderabad

9.3% across the displayed hubs

1 companies hiring · $800.0K disclosed funding

Noida

7.7% across the displayed hubs

4 companies hiring · $448.8K disclosed funding

Chennai

7.2% across the displayed hubs

1 companies hiring · $1.1M disclosed funding

Gurugram

6.7% across the displayed hubs

1 companies hiring · $835.6K disclosed funding