Anatomy of a fraud ring attack

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.

Bots are an ever-present threat to today’s digital businesses: fraudsters leverage them in multiple ways and meticulously tailor attacks to beat their targets’ defenses. Read an analysis of bot attack strategies and the keys to identifying a forthcoming attack.

This report includes:

• Findings from a four-month study on bot attack set-ups and strategies
• New data on how fraudsters use bots to identify and exploit weaknesses in their targets’ fraud stacks
• Behavioral insights revealing the signs that foreshadow large-scale bot attacks

Account takeover (ATO) fraud is surging, with losses reaching nearly $13 billion in 2023 — a 15% year-over-year increase. As fraudsters become more sophisticated, this upward trend shows no signs of slowing.

To protect your organization and customers, it’s critical to implement comprehensive, scalable fraud prevention, identity verification and authentication solutions. Discover why Experian was recently named a leader in ATO prevention by Liminal.

How to deploy a multi-layered approach with a holistic consumer view to stay ahead of evolving fraud.

According to Experian’s latest research, the top three anticipated operational challenges businesses expect to struggle with when it comes to fraud are Cybercrime (45%), Generative AI fraud, and/or Deep Fakes (41%), followed by Peer-to-Peer (P2P) (40%), payment scams, which GenAI increasingly enables.

Read the eBook for other key insights including:

• The GenAI market is forecast to grow to $1.3 trillion over the next decade.
• Annual charge-off losses in the US alone tied to synthetics could be close to $11 billion.
• Banks have experienced a 66.8% increase in social engineering attacks over the past two years.