Report
Published December 2, 2024
Fraud Management
As fraud bots become more advanced, they’re challenging traditional defenses. This report dives deep into how generative AI (GenAI) is fueling sophisticated bot attacks and offers actionable insights for staying ahead. Get the report to learn:
- Key findings from an analysis of bot attacks over a four-month period, direct from fraud teams’ stack analysis
- Why traditional identity verification and authentication is failing to stop certain bots (in one case, we saw bots easily thwart a phone verification step that was in place specifically to stop these types of attacks)
- What methodologies are actually defeating bots and new concerns with the balance of friction and fraud when it comes to bot solutions
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White Paper
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
Webinar
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
White Paper
Holiday Readiness Starts at Checkout
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.
Case Study
Global Money Transfer Leader Reduces ATO-Driven Loss
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.