Model Risk Management for Regulatory Excellence

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

Education Credit Union modernized underwriting with Experian’s Advanced Decisioning—driving faster decisions, stronger approvals, and rapid ROI in a competitive market.

• 5-month payback period
  
• 4.4% lift in performance & funding
  
• $4M+ incremental originations

Model classification now drives governance in AI environments—but many frameworks lag reality. Static, inconsistent approaches create risk as inventories grow.

• Refresh classification continuously
  
• Map dependencies and shadow models
  
• Standardize decisions and documentation