End-to-End Fraud and Risk Detection with F5 Distributed Cloud

Introduction:

In this article we'll be introducing F5's Distributed Cloud (F5 XC) Fraud and Risk Solutions in a multi-method approach to showcase how F5 secures organizations against Fraud.

We’ll emphasize F5’s unique market position to deliver the flexibility, superior efficacy, and frictionless customer experience while reducing fraud within their applications – regardless of where they reside with simple deployment options.

F5 XC Fraud Solutions:

Attacks often start with bots and evolve into fraud. Online fraud continues to be on the rise resulting in increased financial losses.

The fraud attack journey often starts with automation evolving into manual fraud once inside of the application.

F5's end to end fraud and risk solutions help stop bots, identify fraudsters and securely enables trust across the entire customer journey

Part 1 - Bridging the Silos

In part 1 of our F5 Distributed Cloud Fraud Solutions demo series we’ll dive how F5 is bridging the Silo’d gaps between Security and Fraud teams

Part 2 - Are You Human?

In part 2 of our F5 Distributed Cloud Fraud Solutions demo series we’ll move into the next phase of our Fraud Solution and block the Bots that lead to fraud by eliminating the Malicious Automation.

Part 3 - Are You a Fraudster

In part 3 of our F5 Distributed Cloud Fraud Solutions demo series we’ll move into the next phase of our Fraud Solution as we monitor each transaction inside of our application to determine the intent and level of fraud risk

Part 4 - Are You Who You Say You Are?

In part 4 of our F5 Distributed Cloud Fraud Solutions demo series we’ll move into the next phase of our Fraud Solution as we identify returning good users and securely enable trust across the entire customer journey, reducing friction and enhancing the customer experience.

Conclusion:

In conclusion, F5's Distributed Cloud Fraud Solutions help stop bots, identifies fraudsters, and securely enables trust across the entire customer journey.

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Updated Apr 23, 2024

Version 3.0

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