State of Card: Unmasking Fraud Disguised as Credit Risk

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

Consumers have powered the U.S. economy through repeated shocks, but new pressures are testing their resilience. As energy prices rise and economic conditions shift, the outlook is becoming more uncertain.

• Labor market strength is weakening
• Income and wage growth are slowing
• High equity exposure increases risk

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