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How To Reduce Fraud Risk With a Unified, AI-Driven Approach

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"How To Reduce Fraud Risk With a Unified, AI-Driven Approach"

This playbook explores how banks can reduce risk with fraud prevention strategies that leverage automation and AI, unify detection across all systems, and stop fraud before financial loss.

From stolen funds to regulatory finds — fraud is wreaking havoc on banks that can’t keep up with the escalating pace and intensity of attacks on their growing range of digital channels. Banks need a new approach to fraud prevention to reduce risk and stay ahead of threats.

In this playbook, discover how to achieve digital transformation while enhancing your fraud protection strategy. Learn about the technology that can help detect fraud early, how to eliminate solos and unify detection across all systems, and how to adopt an AI-driven, risk-based approach. 

Read now to learn more about:

  • Why traditional approaches to fraud prevention no longer work
  • The role of data in modern fraud prevention
  • Enhancing visibility and risk-based prioritization
  • Reducing response time with automation and AI
  • Strengthening fraud prevention with cross-team collaboration


Offered Free by: Banking Dive's studioID and Splunk
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