Welcome to the Experian Thought Leadership Hub

Fraud professionals are looking to behavioral analytics as the best defense against advanced fraud attacks. But exploring the various kinds of behavior tracking, the variety of pros and cons of different providers and ensuring a valuable test use case can be overwhelming.

This guide will help you evaluate every kind of behavioral analytics solution and incorporate best practices for an effective search and potential implementation.

It covers everything you need to know about behavior for fraud, including:

• Use cases that behavioral analytics can help solve and how to approach each in a strategic manner
• The benefits and potential downsides to a behavioral implementation, and how to prepare
• Value calculators to evaluate the short- and the long-term impact of  behavioral analytics 

In this webinar, Experian industry experts dive into our latest research on the convergence of credit and fraud risk. Discover what's driving these trends and how forward-thinking organizations can enhance risk management and operational efficiency by breaking down silos.

Watch to learn:

• How new and emerging fraud threats are reshaping fraud risk and impacting portfolio management.
  
• Increasing operational efficiency and enhancing risk assessment with centralized credit and fraud strategies.
  
• Aligning fraud prevention with your organization’s risk tolerance.

Read how Elevate uses behavioral analytics to detect fraud rings and streamline workflows, resulting in a near-total elimination of fraud losses and decreased operational costs.

Key Results:

• $1-2 million in annual savings from improved fraud detection and operational efficiency
• Real-time detection of fraud attacks
• Fine-tuned applicant flow for different levels of risk without adding friction

With behavioral analytics, Grasshopper Bank supercharges their team’s efficiency through improved top-of-funnel fraud detection and better-informed resource allocation.

Key Results:

• More accurate rejection at top-of-funnel onboarding, drastically reducing manual review costs and API calls
• Streamlined client onboarding through advanced fraud detection tools
• Refined cost-awareness, informing operational spending for the acquisition team as well as fraud team

Fraud risks have held many financial institutions back from committing to real-time money movement, but the danger of indecision could cause hesitant businesses to miss out on billions. We break down the biggest myths around RTMM and how they’re impacting the financial world.

Key Insights:

• 80% of U.S. consumers want to make payments faster and more direct, opening a lucrative opportunity for businesses who offer real-time money movement capabilities
• How FedNow changes the RTMM landscape in the U.S.
• What makes real-time payments more vulnerable to fraud (and how fraud teams can adapt)

Discover key strategies to protect your hiring process from the growing threat of employment fraud. This comprehensive playbook offers:

• Emerging fraud threats in the employment sector.
  
• The role of identity verification in hiring and preemployment.
  
• A checklist to help background screeners enhance identity verification and fraud prevention efforts.

As fraud bots become more advanced, they’re challenging traditional defenses. This report dives deep into how generative AI (GenAI) is fueling sophisticated bot attacks and offers actionable insights for staying ahead. Get the report to learn:

• Key findings from an analysis of bot attacks over a four-month period, direct from fraud teams’ stack analysis
• Why traditional identity verification and authentication is failing to stop certain bots (in one case, we saw bots easily thwart a phone verification step that was in place specifically to stop these types of attacks)
• What methodologies are actually defeating bots and new concerns with the balance of friction and fraud when it comes to bot solutions

Read how a payment processor used behavioral analytics to close fraud detection gaps — including identifying over 100,000 dormant fraud accounts — without adding friction for its genuine customers.

Case study includes details on:

• How behavioral analytics prevented $10M of potential annual fraud losses
• Why real-time decisioning on behavioral data was crucial to stopping new account opening fraud
• How behavioral analytics provided scalable fraud mitigation without added friction

A story of how Addi, a leading Latin American financial services company, used behavioral analytics to streamline a strenuous onboarding process. The results included a dramatic decrease in verification time, elimination of third-party fraud, and supercharged, secure business growth.