Tip Sheet
Published February 21, 2025
Fraud Management Identity Workforce Management
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.
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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
Tip Sheet
Preemployment Fraud Prevention Checklist
As a background screener, your ability to prevent fraud depends not only on your internal processes but also on the quality of your data and solutions partner. Are you confident you’re working with the right partner to detect and mitigate fraud effectively?
Our Fraud Prevention Checklist is designed to guide background screening professionals in selecting a data partner that enhances their screening process. Inside, you’ll find critical questions and considerations, including:
Key steps for early identity verification to flag fraudulent applicants
- The importance of leveraging trusted and robust data sources for cross-verification
- Advanced tools like synthetic identity detection, biometric verification and behavioral analytics
- Ensuring your partner is aligned with the latest fraud prevention trends
Download the checklist now to ensure your screening process is supported by the right partner and stays fraud resistant.
Webinar
2025 Fraud Trends: Disrupting GenAI in Fraud
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.
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