Webinar
Published February 11, 2026
Fraud Management
First-party fraud can look like traditional credit risk, but the intent behind the behavior is very different. In this on-demand webinar, Experian experts show how to use early performance, identity and behavioral signals to distinguish fraud from genuine financial distress and improve portfolio outcomes.
- Learn how first-party fraud hides inside “normal” credit losses
- See which early behaviors signal deceptive intent versus hardship
- Understand how to align fraud, credit and collections strategies
- Explore practical use cases from leading financial institutions
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White Paper
The State of Decisioning: Competitive Advantage with AI
Discover where leading institutions are taking decisioning:
- Explores why intelligent decisioning is becoming a competitive advantage for financial institutions.
- Examines research on AI, data, governance and decision intelligence.
- Highlights common modernization challenges and practical strategies for improving decision outcomes.
eBook
Uncover Hidden Risk in Prime Credit Portfolios
Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.
Key insights:
- Traditional credit scores measure ability to repay but may not identify consumers with no intent to repay.
- First-party fraud models can uncover hidden early payment default risk within prime portfolios and improve risk segmentation.
- Research shows measurable lift in early delinquency detection and ROI when fraud analytics complement credit scoring.
Report
The imposter in the session: A full force invasion
Uncover how a coordinated fraud ring scaled into a full force ATO invasion, connecting 166 devices across nearly 300 accounts in just 30 days. Explore how specialized roles from reconnaissance to monetization worked together to bypass controls, exploit vulnerabilities, and outpace defenses, and why real time behavioral, device, and network intelligence is critical to stopping attacks early.
Report
The imposter in the session: Limited structure, limitless scalability
Dive into a large-scale account takeover (ATO) attack where loosely coordinated fraudsters use low-touch logins to validate credentials and harvest data across 100+ accounts. Learn how unstructured fraud rings achieve rapid scale, why behavior is the hardest signal to fake, and how multidimensional analysis exposes hidden connections to stop attacks early.