Webinar
Published February 6, 2025
Fraud Management
Generative AI is transforming fraud at an unprecedented pace — making attacks faster, more sophisticated, and harder to detect.
In this webinar, our fraud experts discuss key trends for 2025 and share actionable strategies to strengthen your defenses.
What you'll learn:
- The top three fraud threats to watch in 2025.
- How fraud leaders are tackling GenAI-driven attacks.
- Practical strategies for building a future-ready fraud stack.
Watch now to stay ahead of the evolving fraud landscape.
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Tip Sheet
Arm employees with ID protection to fight data breach
Recent statistics reveal a direct connection between employee identity theft and business vulnerabilities. Compromised employee credentials can be a common entry point for fraudsters and putting your organization’s cybersecurity at risk.
- Up to 80% of cyberattacks leverage identity-based attack methods, and many breaches stem from phishing attacks targeting employee login details
- The average cost of a data breach was $4.88 million in 2024, the highest average on record.
- Cyberattacks are becoming more common, striking 4,000 times per day.
eBook
Navigating the Intersection of Credit, Fraud, and Compliance
Credit risk, fraud, and compliance have long operated in silos, but forward-thinking organizations are unlocking new opportunities through convergence.
Read our e-book to learn how aligning these critical functions can help you:
- Reduce overall risk
- Improve operational efficiency
- Stay ahead of the competition
Case Study
How a Top Bank Stops Sophisticated Fraud with Behavioral Analytics
A top bank struggled to efficiently stop evolving fraud attacks. Fraudsters incurred unnecessary expenses as they worked downstream in the bank’s onboarding flow, with some even beating the bank’s defense’s entirely. After implementing behavioral analytics, the bank was able to detect attacks 4x faster and stop sophisticated attacks that their other tools couldn’t.
Key Results:
- 4x faster fraud detection resulting in a 30% reduction in digital onboarding costs
- Effective detection of modern attack strategies that bypassed other fraud mitigation tools
- 40% of manually approved fraud cases identified as risky by NeuroID
Case Study
How a Leading Credit Union Stops Sophisticated Fraud Attacks with Behavioral Analytics
Overwhelmed by evolving fraud attacks and a heavy reliance on manual reviews, a leading credit union turned to NeuroID’s behavioral analytics to spot advanced fraudsters and stop attacks in real time.
Key Results:
- Improved top-of-funnel fraud detection, reducing fraud losses, false positives, and unnecessary step-ups
- Decreased manual review workload, freeing up over 40 hours a month for customer service and growth initiatives
- Real-time detection of attacks, providing improved protection and confidence in fraud mitigation capabilities