What Awaits You
1. Understanding AI-Driven Fraud
- Explore examples of synthetic identity fraud, deepfakes in financial fraud, and account takeover.
- Examine Generative AI tools like FraudGPT, WormGPT, and other AI-based malware and phishing scams.
2. Real-World Case Studies
- Gain insights from detailed case studies illustrating the challenges and successes in identifying and combating AI-driven fraud.
- Participate in highly engaging polls to test your knowledge of AI involvement in specific fraud cases.
3. Detection and Prevention Techniques
- Discover the latest machine learning algorithms used in detecting AI-based fraud.
- Learn about behavioral analytics, anomaly detection, and predictive modelling.
4. Legal and Ethical Considerations
- Explore the legal framework surrounding AI fraud, current regulations, and the ethical implications of utilizing AI in fraud detection and prevention.
5. Future Trends
- Anticipate future trends in AI-driven fraud and understand how businesses and individuals can proactively prepare.
Who Should Attend:
Professionals from various sectors, including finance, cybersecurity, law enforcement, and digital commerce, as well as anyone interested in the dynamics of AI-driven fraud.
Don't miss out on this opportunity to stay informed and equipped in the fight against AI-driven fraud.