Fraud Detection and Prevention in the Digital Age

Course Objectives:

• Understand the current landscape of digital fraud and its impact on businesses and individuals.
• Learn about the various methods and technologies used in fraud detection and prevention.
• Develop skills to identify potential fraud patterns and implement effective countermeasures.
• Gain insight into ethical, legal, and regulatory considerations in fraud detection.

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Introduction to Digital Fraud

• Overview of digital fraud: scope, types, and impact.
• Key drivers of digital fraud in the modern world.
• Common targets: businesses, consumers, and governments.
• Basic concepts: fraud triangle, fraud risk management.

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Techniques and Tools for Fraud Detection

• Data analytics and machine learning in fraud detection.
• Transaction monitoring and anomaly detection.
• Artificial Intelligence (AI) and its role in identifying fraud patterns.
• Overview of biometric and behavioral authentication technologies.

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Fraud Prevention Strategies

• Preventive measures for online businesses: encryption, multi-factor authentication.
• Best practices for protecting consumer data and preventing identity theft.
• Risk-based fraud detection approaches and their implementation.
• Case studies of successful fraud prevention strategies.

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Legal, Ethical, and Regulatory Considerations

• Understanding global fraud regulations: GDPR, CCPA, and others.
• Ethical dilemmas in fraud detection and prevention.
• Legal frameworks for fraud investigation and reporting.
• Role of collaboration between institutions, governments, and businesses in preventing digital fraud.

DATE:
1ST BATCH: 10th – 13th Mar,2026
2ND BATCH: 30thJune – 3rd July,2026

3RD BATCH: 27th – 30th Oct,2026