Custom Fraud Model - State Treasury

See how a single attacker leveraged fraud ring tactics to compromise over 50 accounts in under 30 days—and how to detect and stop solo account takeover attacks at scale.

Key insights:

• Lone fraudsters can replicate fraud ring tactics using playbooks, tools and stolen credentials
• A single device can target dozens of accounts rapidly with consistent, repeatable actions
• Behavioral, device and location signals help distinguish imposters from legitimate users
• Stopping high-risk devices early prevents attacks from scaling across multiple accounts

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

Uncover a coordinated account takeover fraud ring in action and learn how it was stopped using behavioral, device and network intelligence.

Key insights:

• Fraud rings operate with structured roles to efficiently execute account takeover attacks
• Compromised accounts can be connected across devices, revealing coordinated activity
• Behavioral, device and network intelligence expose fraud signals traditional tools miss
• Stopping ATO requires identifying and dismantling the full fraud ring, not just individual logins

In this webinar, Experian experts explore how organizations can apply proven consumer fraud prevention tactics to strengthen commercial lending defenses.

What you'll learn:

• How consumer fraud strategies can be adapted for commercial use cases
• Where commercial lending is most exposed and how to mitigate risk
• How shared signals across identity, behavior and devices can improve detection