How to stop AI-powered attacks:
A readiness guide for identity and security teams
AI-powered attacks move at machine speed. Most security tools weren't built for that. Get the context, assessment, and playbook to close the gaps before an attacker finds them.
Built with insights from Glasswing members who tested Frontier AI attack techniques against their own environments — and learned what actually stops them.
Get the guide
~2hrs
From first access to full cross-domain compromise
AI-powered attack playbooks execute at a speed that leaves no realistic window for human response.
Inside the guide
What you'll learn
- Why Frontier AI models like Mythos change the economics and tempo of cyberattacks and what that means for your defenses
- Why identity has become the primary battlefield and the last reliable enforcement point before an attack executes
- Where IGA, traditional PAM, and detection-first tools fall short against machine-speed threats
- Five questions to assess your organization's readiness and resilience with a scoring guide to anchor the leadership conversation
- A prioritized action checklist: what to close first, what to do Monday morning, and how to validate your controls actually stop attacks
The attack didn't happen in malware. It happened in identity.
AI-powered attacks don't invent new techniques. They execute existing ones, like credential abuse, lateral movement, and privilege escalation, continuously, adaptively, and without human friction. What changes is speed and scale. By the time an alert fires, the attack may already be complete.
This is why identity has become the control plane of modern attacks. Every AI-driven campaign depends on authentication—and authentication is where it can be stopped.
Stop attacks before access is granted. Not after.
Detection tells you something happened. Runtime identity enforcement stops it before it does. Assess where your controls stand and get a prioritized playbook to close the gaps AI-powered attacks are built to exploit.