Experian Identity Insights

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.

Join Experian’s Dark Web Intelligence Team to explore how to score consumers’ identity health and the benefits for both businesses and consumers.

We'll break down:

• The accelerating risk of identity exposure on the dark web and what it means for your organization and your customers
• Case studies of fraud events detected through dark web alerts
• How Experian's Identity Health Score translates signal data into action, helping you identify at-risk consumers, upsell safely, inform cyber insurance strategies, and protect employees

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.

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