Frontier AI models give attackers the ability to find vulnerabilities, develop exploits, and execute attacks at machine speed and massive scale. What used to take nation-state skill can now be automated, adapted, and executed continuously.
That creates a problem for traditional security models built around patch cycles, fragmented tools, and hardware-centric architectures. As the time between discovery and active attack shrinks, defense cannot afford to move in intervals.
Join Cato Networks and Dark Reading to hear what Frontier AI changes for enterprise security, why time-to-protection is a critical metric, and why adaptive security and real-time enforcement are essential.
Attendees will learn:
- How Frontier AI is changing the speed and scale of cyberattacks
- Why traditional security timelines are no longer sustainable
- The architectural challenges created by fragmented security stacks
- What security leaders should prioritize to prepare for AI-driven threats
- Why continuous protection and real-time enforcement are becoming essential