The importance of building a consumer-centric identity solution

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.

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

Explore how modern fraudsters use coordinated, strategic attack methods—and learn how to detect, disrupt and prevent them using behavioral intelligence and real-time insights.

Key insights:

• Fraudsters use structured attack strategies like reconnaissance, blitzes and deception to exploit weaknesses
• AI-driven bots and automation are rapidly increasing the scale and speed of fraud attacks
• Behavioral analytics reveals hidden fraud signals traditional tools miss
• Early detection and layered defenses help stop attacks before they escalate