Welcome to the Experian Thought Leadership Hub

Explore our 2027 Data Breach Industry Forecast and the emerging risks shaping cybersecurity and consumer trust. 

• See how AI may reshape identity verification and fraud 
• Explore the rise of digital doppelgängers 
• Learn how consumer privacy behaviors may evolve 
• Understand why breach notifications may need a reset 

Prepare your organization to respond quickly and effectively to a data breach with a practical, end-to-end guide.

• Build and audit a cross-functional response plan. 
• Run drills for ransomware, vendor breaches, deepfakes and shadow AI. 
• Plan consumer notification, call center and identity protection support. 
• Navigate third-party risk, cyber insurance and regulatory requirements. 

Read our latest Identity and Fraud Insight for Fintechs Report.

• Explore the AI-enabled fraud threats creating the greatest concern and exposure for fintechs. 
• See where fintechs are increasing investment in GenAI intelligence, document forgery detection and deepfake defenses. 
• Learn how proactive, layered identity verification can strengthen protection while reducing customer friction. 

See how scams develop across five stages and where fraud teams may detect risk earlier. 

• Understand targeting, grooming and trust-building tactics. 
• Identify behavioral, device and payment warning signs. 
• See how account takeover and value transfer can appear. 
• Explore opportunities for earlier intervention. 

See how behavioral analytics strengthened post-login fraud detection.

• Learn how we integrated across 200+ ecosystem points.
• Discover how fraud detection increased 2X versus incumbent tools.
• Explore how connected signals exposed organized fraud rings.

Learn how fraud teams can recognize scam activity earlier and strengthen prevention across the customer lifecycle.

• Explore five common scam types and their lifecycles 
• Identify behavioral, device and payment red flags 
• Understand how AI is changing scam tactics 
• Discover tools for detecting high-risk activity sooner

Learn how fraud teams can recognize scam activity earlier and strengthen prevention across the customer lifecycle.

• Explore five common scam types and their lifecycles 
• Identify behavioral, device and payment red flags 
• Understand how AI is changing scam tactics 
• Discover tools for detecting high-risk activity sooner 

Prepare your checkout strategy for peak shopping season with practical guidance on balancing fraud prevention and customer experience.

• Learn how false declines affect revenue and loyalty.
• Explore layered identity and authentication strategies.
• Improve approvals while reducing unnecessary checkout friction.
• Review a retailer case study with measurable business outcomes.

See how NeuroID helped a money transfer leader reduce ATO losses and improve fraud detection.

• Achieved $1.4M in annualized gross savings by reducing fraud losses and operational costs.
• Delivered a 56x lift in chargeback predictive power using behavioral, device and network signals.
• Increased conversion rates by 2% while reducing manual reviews and maintaining a frictionless experience.
• Strengthened account takeover protection with real-time behavioral analytics and decisioning.