Mythos, Decoded: What’s Actually Changed in Vulnerability Management

Why finding more doesn’t mean fixing more

Frontier AI models like Mythos have demonstrated the ability to discover vulnerabilities faster than any human, putting security teams on high alert. Vulnerability management was already reaching the limits of human scale, even with mature tools and well-formed processes in place. The volume of new vulnerabilities is already testing that limit, and it’s only expected to grow as AI-accelerated discovery becomes more widely available.

Here’s what most security teams miss: closing that gap doesn’t mean you have to fix everything immediately. Runtime context shows which vulnerabilities actually add business risk, so teams can focus on the right ones. And with the help of AI, organizations can apply this focus at scale, keeping pace with the backlog instead of falling behind.

Join Sysdig to separate what’s actually changed from the hype, and learn how to build a vulnerability management program ready for the future.

In this webinar, you’ll learn:

• What Mythos actually is, and isn’t, and whether it really matters for your program
• Why vulnerability management has hit a plateau, even with improving tools
• Why you don’t need to fix everything at once
• Practical steps to keep up with AI-accelerated discovery, without the panic