F5 Bot Defense uses real-time risk scoring to detect fraud and abuse
F5 enhances Distributed Cloud Bot Defense with persistent device identification, real-time risk scoring, and agent-aware policies to manage AI agent traffic.
F5 announced enhancements to Distributed Cloud Bot Defense adding persistent device identification, real-time device risk scoring, risk-based workflow enforcement, and an agent-aware policy framework integrated with the F5 Application Delivery and Security Platform. The features aim to expose multi-account abuse, credential stuffing, and account takeover while allowing trusted AI agents to transact at machine speed. It targets fraud and abuse detection as agentic AI becomes a key interaction channel for sites, apps, and APIs.
- Persistent device identification exposes multi-account abuse, credential stuffing, and account takeover patterns.
- Real-time risk scoring detects emulators, device spoofing, and tampering.
- Single policy framework classifies humans, trusted AI agents, and malicious bots.
From the original article
2 min read at helpnetsecurity.comF5 has announced enhancements to F5 Distributed Cloud Bot Defense, introducing new device intelligence capabilities and specialized agentic AI protections. These capabilities bring persistent device context and continuous risk decisioning to application security, giving organizations the real-time agent management designed to help welcome trusted digital interaction while helping stop automated fraud and abuse.
By Industry News · helpnetsecurity.com
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