Automated attacks evolve at every turn to evade detection, eventually outsmarting industry-standard security controls (like CAPTCHA). But not all attacks are automated. Human threat actors pose a major problem for organizations’ web application security. Having access to high-fidelity refined data around user behavior, network characteristics, and device characteristics can help you more effectively detect malicious human actors – and fraud. To defend against fraud requires bringing context to the complex in the form of actionable behavioral insights.
Join F5 security and fraud experts to discover how to unmask malicious human threat actors by leveraging rich user- and device-based behavioral data drawn from F5's Distributed Cloud Data Intelligence. We’ll share the contents of a sample F5 Data Intelligence file, and using real examples we’ll show you how to extrapolate intelligence from raw data to protect against account takeover and fraudulent account creation.
Discover how one company identified 89% of their account takeover fraud.
Find out how in-depth and detailed telemetry collected from user sessions coupled with existing data sources enables better fraud detection.
Learn how to incorporate F5’s feed into your SIEM tools.