AI in Fraud, Identity and Compliance

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The Leading Detection Podcast

Sedulo Search

10 episodes

1 day ago

Leading Detection unpacks the realities of fraud prevention and digital risk. Join host Matt as he talks with top experts across fintech, cybersecurity, and e-commerce to reveal industry truths, share actionable strategies, and explore how we can build stronger defenses together. Stay ahead of evolving scams with weekly insights, real stories, and fresh perspectives from the front lines of fraud detection. Let’s detect, disrupt, and do better. Together.

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AI in Fraud, Identity and Compliance

The Leading Detection Podcast

51 minutes 16 seconds

3 weeks ago

AI in Fraud, Identity and Compliance

In this live session of the Leading Detection Podcast, host Matt engages with Mitul and Brian from Safeguard to discuss the evolving landscape of AI in fraud detection and compliance. They explore the current hype surrounding AI, the balance between potential and scepticism, and the importance of community in navigating these changes. The conversation also touches on the regulatory landscape, the future of fraud threats, and the significance of building relationships within the industry. The session concludes with details about the upcoming Safeguard event, aimed at fostering collaboration among fraud prevention professionals.

Check out the Safeguard event on their website:

https://www.safeguardevent.com/

Takeaways

AI is currently overhyped but will be underhyped in the long run.
Building a community is essential to cut through the noise in AI.
Practitioners are cautious about being the guinea pig for new AI tools.
Quick wins in AI can help gain executive buy-in.
The economics of fraud detection are becoming concerning as costs for fraudsters decrease.
Regulatory guidance on AI in fraud prevention is still developing.
AI can help compress workflows and improve efficiency.
Collaboration across different sectors is crucial for effective fraud prevention.
The future of fraud threats is expected to escalate with AI advancements.
Building relationships in the fraud prevention community is vital for success.

Chapters

00:00 Introduction to the Live Session

02:05 The Landscape of AI in Fraud and Compliance

04:50 Healthy Scepticism and Curiosity in AI Adoption

07:41 Defining AI in Fraud Prevention

10:32 Top-Down Pressure for AI Implementation

13:13 Navigating Build vs. Buy Decisions in AI

15:55 Testing AI Solutions: The Importance of POCs

18:37 Real-World Applications of AI in Fraud Prevention

21:24 The Future of Roles in Fraud and Compliance

24:21 Conclusion and Key Takeaways

26:02 AI's Role in Team Integration

29:22 Governance and Regulation in AI

33:20 The Future of Work and AI

34:46 The Rising Threat of Fraud

39:36 Building a Community Against Fraud

46:00 Safeguard Event Overview

Keywords

AI, fraud detection, identity theft, compliance, community building, Safeguard event, regulatory landscape, technology in finance, risk management, fintech