Economic Outlook and the Influence on Debt Collections

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

Read how a payment processor used behavioral analytics to close fraud detection gaps — including identifying over 100,000 dormant fraud accounts — without adding friction for its genuine customers.

Case study includes details on:

• How behavioral analytics prevented $10M of potential annual fraud losses
• Why real-time decisioning on behavioral data was crucial to stopping new account opening fraud
• How behavioral analytics provided scalable fraud mitigation without added friction

A story of how Addi, a leading Latin American financial services company, used behavioral analytics to streamline a strenuous onboarding process. The results included a dramatic decrease in verification time, elimination of third-party fraud, and supercharged, secure business growth.

Traditional bot detection methods — like IP blocklisting, user-agent analysis, and heuristic behavioral checks — used to be enough to stop fraud bots. But now, GenAI has turned the tables: fraudsters can essentially reverse-engineer your fraud stack and create next-gen bots that evade every trusted tool. In this webinar, our experts explore the increasing sophistication and velocity of bot attacks and the latest techniques for balancing bot-fighting and friction.