Making identities personal

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

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