The fraud bot future-shock: How to spot & stop next-gen attacks

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.

Discover how AI, fraud and identity are reshaping digital trust. Based on research with U.S. consumers and businesses, this report explores emerging trends and practical strategies.

• Understand today's evolving fraud landscape and AI-driven threats
• Learn how identity intelligence supports trust and customer experience
• Explore consumer expectations for security, privacy and personalization
• Prepare for the future of agentic commerce and digital trust