Credit Risk Management with GenAI

Dive into a large-scale account takeover (ATO) attack where loosely coordinated fraudsters use low-touch logins to validate credentials and harvest data across 100+ accounts. Learn how unstructured fraud rings achieve rapid scale, why behavior is the hardest signal to fake, and how multidimensional analysis exposes hidden connections to stop attacks early.

View our infographic to learn how to capture high-intent moments and turn them into lasting revenue. Discover:

• The cost of waiting and the impact on growth  
• The benefits of real-time engagement strategies  
• How better data powers your timing advantage  
• Why partnering with us makes a difference

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

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