Report
Traversing Trust, Technology and the Shifting Identity Landscape
Published July 31, 2025
Fraud Management Identity
Experian’s tenth annual Identity & Fraud Report unpacks the major trends reshaping identity, fraud, and digital trust in 2025. Based on insights from over 2,000 U.S. consumers and 200 business leaders, this year’s findings offer a clear-eyed view of what’s driving concern, where expectations are shifting, and how organizations must evolve to stay ahead.
Key takeaways include:
- Fraud is growing—and changing fast: Nearly 60% of U.S. businesses report higher fraud losses in 2025, driven by more sophisticated attacks and legacy security gaps.
- Trust is earned, not assumed: Only 13% of consumers feel fully secure opening new accounts—yet 40% say strong identity experiences build trust.
- AI is both a weapon and a shield: 72% of businesses expect AI-generated fraud to be a top challenge, even as more invest in AI to fight back.
- Consumer fears remain high: Identity theft (68%) and stolen credit card data (61%) top the list of consumer concerns—for the second year running.
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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.
Report
The imposter in the session: The power of one
See how a single attacker leveraged fraud ring tactics to compromise over 50 accounts in under 30 days—and how to detect and stop solo account takeover attacks at scale.
Key insights:
- Lone fraudsters can replicate fraud ring tactics using playbooks, tools and stolen credentials
- A single device can target dozens of accounts rapidly with consistent, repeatable actions
- Behavioral, device and location signals help distinguish imposters from legitimate users
- Stopping high-risk devices early prevents attacks from scaling across multiple accounts