- AI-powered attacks, like the Mythos model, now execute in minutes what previously took attackers days.
- Traditional network-based defenses lag behind because they were built for human-speed threats.
- Three concrete moves—shrinking exposure, blocking lateral movement, and early detection—can outpace these attacks without requiring new tools.
A new wave of AI-powered cyberattacks, exemplified by models like Mythos, is compressing attack timelines from days to minutes. These models write tailored bait, select targets, and jump between hosts before security teams can clear a single alert.
Consequently, the tools and runbooks most organizations rely on were designed for attackers moving at human speed. That gap leaves defenses perpetually a step behind, as AI-driven attacks operate at machine scale and speed.
A free webinar titled “Outpacing Mythos: How to Fight Back Against AI-Powered Attacks” breaks down the mechanics of these intrusions. It shows how AI-powered attacks gain entry, what they do inside, and why network-based defenses cannot keep up.
The session then provides three practical moves to close the gap. First, shrink the attacker’s reach by cutting exposed entry points and enforcing least-privilege access everywhere. Second, kill lateral movement by dropping network-based trust and allowing only needed connections. Third, plant tripwires that trigger automated containment before a foothold becomes a full incident.
Zscaler’s Olivia Vort demonstrates implementing these steps with a Zero Trust approach built for machine speed. The goal is a blueprint that can be applied next Monday: what to fix first, what to tighten, and how to cut risk fast without buying another tool or adding more noise. Attackers are not waiting for teams to catch up, so finding gaps on your own terms is essential.
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