Frontier AI is beginning to change one of the most important assumptions behind modern cybersecurity: that attackers operate at roughly human speed.

For years, CISOs have built security programmes around vulnerability scanners, patching SLAs, SAST, penetration testing, SIEM, SOAR, Zero Trust and incident-response playbooks. Those controls still matter, but the speed at which they operate is becoming a critical weakness.

Recent developments such as Anthropic's Claude Mythos and Project Glasswing have shown how frontier models can dramatically accelerate vulnerability discovery and security research. The 2026 Hugging Face incident also demonstrated how autonomous AI agents can move across real environments, adapt their approach, chain multiple weaknesses and challenge traditional assumptions around containment and incident response.

This creates a new problem for CISOs:

What happens when attackers can discover vulnerabilities, analyse systems and pursue attack paths at machine-assisted speed, while your defenders still rely on spreadsheets, weekly meetings, manual investigations and 30-day remediation cycles?

That is the focus of this course.

The CISO Playbook for Frontier Model Attacks is a practical course designed for CISOs, security leaders, architects and senior cybersecurity professionals who want to understand how frontier AI changes cyber attack economics and how existing security programmes must evolve in response.

This is not another general AI security course and it is not about replacing security teams with autonomous agents. Instead, the course focuses on how to transform the capabilities you already have - vulnerability management, AppSec and incident response .. so they can operate at a much faster pace.

A core concept throughout the course is the Security Velocity Gap: the growing difference between how quickly attackers can operationalise a weakness and how quickly defenders can identify, prioritise and remove the exposure.

What You Will Learn

• How frontier AI models such as Mythos are changing vulnerability discovery and attack velocity

• What the Hugging Face incident teaches security leaders about autonomous agents, machine-speed iteration and containment assumptions

• Why traditional CVSS-driven vulnerability management is no longer enough

• How to combine CISA KEV, EPSS, internet exposure and business criticality to prioritise vulnerabilities more effectively

• How AI can support faster application-security reviews, remediation and verification

• How AI investigation agents can augment SIEM and SOAR rather than replace them

• How to assess the readiness of your existing security programme for AI-accelerated attacks

The course includes several hands-on demonstrations designed to show what an AI-accelerated defensive operating model looks like in practice.

The course also includes an AI Attack Readiness Assessment that you can use to evaluate your own programme across vulnerability management, AppSec, Zero Trust, SOC, incident response, identity, automation and defensive AI.

Who Should Take This Course

This course is designed for CISOs, security directors, security architects, SOC and incident-response leaders, vulnerability-management leaders, AppSec and DevSecOps professionals, cloud security leaders and experienced cybersecurity professionals moving into leadership roles.

The goal is simple:

AI does not make cybersecurity fundamentals obsolete. It makes slow and weak implementation of those fundamentals more dangerous.

The future is increasingly becoming a contest between AI-accelerated attackers and AI-accelerated defenders.

This course will show you how to make sure your defenders are not the slowest part of the system.