AI hasn’t just changed how fast attacks happen. It’s changed the math entirely. What used to take an attacker days now gets done in minutes. Using models like Mythos, they write convincing phishing bait, pick targets, test what works, and pivot to the next host before your team has even finished triaging the first alert.
That’s the reality gap. And it’s not your fault — the tools and runbooks most teams rely on were designed for attackers operating at human speed. AI-driven attacks don’t.
A free webinar called “Outpacing Mythos: How to Fight Back Against AI-Powered Attacks” breaks this down in an hour. No slideware theory, just the mechanics. You’ll see how these attacks get in, what they do once they’re inside, and why network-based defenses consistently land a step behind.
The useful part comes after: what to do about it. Three moves that actually work, without adding three more products to your queue.
- Shrink the attack surface. Cut exposed entry points and enforce least-privilege access everywhere. Less to find means less to exploit.
- Kill lateral movement by design. Drop network-based trust. Only allow connections users and workloads actually need.
- Catch it early. Plant tripwires that AI attacks trigger, firing automated containment before a foothold becomes a full incident.
Zscaler’s Olivia Vort walks through how to put this into practice with a Zero Trust approach built for machine speed. You walk out with a Monday-ready blueprint: what to fix first, what to tighten, and how to cut risk fast without buying another tool.
Attackers aren’t waiting. Spend one hour finding your gaps on your terms, before someone else finds them on theirs.
