VAC Insights
Vendor Assessment Community

Tools to Consider for Defending Against New AI-Enabled Bot Attacks

How are AI-enabled bots bypassing traditional detection?

A new class of automated attacks is targeting unauthenticated workflows, where existing bot and fraud controls offer limited visibility. Many organizations lack the layered architecture needed to detect and disrupt these “validate-and-dip" attacks.

In this Vendor Assessment Community (VAC) Insights report, Joshua Danielson, IANS Faculty, evaluates the current vendor landscape and explores detection strategies that go beyond traditional bot management.

Download the report to understand how to close detection gaps and defend against emerging AI-driven bot threats.

Discover:

  • Why AI-enabled bot attacks bypass traditional detection
  • How to evaluate vendors and improve bot defense effectiveness
  • What architectural approaches can help detect and disrupt attacks earlier

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