Scam detection: a guide for financial institutions

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 portfolio before peak holiday spending with insights into changing consumer behavior, credit trends and risk signals.

• Understand how income divergence is reshaping portfolio risk.
• Learn how BNPL, AI and alternative data influence lending decisions.
• Identify strategies to grow wallet share while managing early delinquency risk.
• Prioritize actions before the holiday shopping season begins.

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.