The fraud division has witnessed a dramatic transformation in the age of artificial intelligence (AI). As technology advances, so do the methods employed by fraudsters. Modern criminals use sophisticated techniques, such as deep learning and natural language processing, to deceive individuals and organisations alike. Such techniques allow them to mimic human behaviour, manipulate data, and exploit vulnerabilities in security systems.
That’s why organisations are embracing AI's strengths to combat these evolving threats. AI-driven solutions can provide real-time detection of fraudulent activities, analyse vast amounts of data to identify patterns and anomalies, and automate response processes.
In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Xavier Sheikrojan, Senior Risk Intelligence Manager at Signifyd, about AI fraud.
Key Takeaways:
- Fraudsters have evolved from individuals to organised criminal enterprises.
- AI enables fraudsters to scale their attacks rapidly and strategically.
- Phishing attacks have become more sophisticated with AI-generated content.
- Synthetic identities can be created easily, complicating fraud prevention.
- Opportunistic fraud is impulsive, while proactive fraud is well-planned.
- Businesses often fail to act post-breach due to resource constraints.
- Inaction after a breach can lead to repeated attacks by fraudsters.
- AI must be used to combat AI-driven fraud effectively.
- Balancing fraud detection with customer experience is crucial for businesses.
Chapters:
00:00 - Introduction to AI and Fraud
01:32 - The Evolution of Cybercrime
05:43 - AI's Role in Modern Fraud Techniques
09:55 - Opportunistic vs. Proactive Fraud
12:44 - Business Inaction and Its Consequences
15:59 - Combating AI-Driven Fraud with AI
