Unmask More Fraud With F5 Distributed Cloud Data Intelligence.pdf

distributed-cloud-data-intelligence.pdf
Preview of Unmask More Fraud with F5 Distributed Cloud Data Intelligence
🔗 Source: f5.com
📊 Size: 324 KB
📄 Pages: 4 pages
⬇️ Downloads: 100

Summary

## Detecting Fraud with F5 Distributed Cloud Data Intelligence

Problem: Human threat actors, including fraudsters, pose significant risks to web application security, leading to estimated annual losses of 5% of global revenues due to fraud (ACFE). Cyberattacks and cyber-enabled fraud are on the rise, projected to cost firms $10.5 trillion by 2025 (Grant Thornton).

Solution: F5 Distributed Cloud Data Intelligence empowers security and fraud teams with rich telemetry signals about user behavior, network, and device characteristics to detect and mitigate fraud effectively.

Key Benefits:

Early Fraud Detection: Identify suspicious behaviors suggesting malicious intent before harm occurs.
Augmented Fraud Systems: Enhance existing fraud systems with refined telemetry data for improved accuracy and reduced false positives/negatives.
Multi-Dimensional Identity Risk View: Gain insights into digital identity risk through a comprehensive understanding of user behavior, device identification, and network characteristics.

How it Works:

F5 Distributed Cloud collects and analyzes:

Behavioral Biometrics: Mouse movements, keyboard usage patterns, unusual application interactions.
Device Data: Device identifiers, browser anomalies, login patterns.
Network Characteristics: IP addresses, VPN use, reputation data.

This multi-dimensional view allows for the creation of smarter rules and models to detect even sophisticated fraud attempts.

Key Features:

Real-time actionable telemetry signals
Layered fraud protection through high-fidelity data intelligence
Unique insights into identity events and application activity
Proven technology from a leader in web application security (F5)

Description

Leverage F5 Distributed Cloud Data Intelligence to uncover hidden fraud patterns through user behavior, device identification, and network data analysis, enhancing real-time detection and mitigation of account takeovers and fraudulent activities.

Technical Information

  • File Format: PDF
  • File Size: 324 KB
  • Pages: 4
  • Language: EN
  • Total Downloads: 100
  • Last Updated: 5 hours ago

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