Mythos uncovered thousands of vulnerabilities and zero days. Is patching still a viable strategy at this scale?

In this video, RunSafe Security EVP and Chief Strategy Officer Doug Britton explains why the rapid rise of AI-driven vulnerability discovery is making traditional patching strategies increasingly unsustainable for defenders.

Mythos uncovered thousands of vulnerabilities and zero days. Is patching still a viable strategy at this scale?

Why Security Teams Can’t Rely on Patching Alone Anymore

AI models capable of identifying thousands of vulnerabilities and zero days are fundamentally changing the balance between attackers and defenders. What was once a manageable flow of vulnerabilities and patches is quickly becoming an overwhelming flood of security issues that organizations may struggle to triage, prioritize, and remediate in time.

In this discussion, Doug Britton explains how AI-driven vulnerability discovery is accelerating both the volume of software flaws being uncovered and the speed at which exploits can be weaponized. Timelines that once took months are shrinking to hours, while the expertise required to develop sophisticated cyber attacks is rapidly decreasing.

As the economics of cybersecurity shift against defenders, organizations can no longer depend solely on reactive patch management. Instead, security teams must adopt more proactive resilience strategies that reduce exploitability across entire classes of vulnerabilities and strengthen systems before attacks occur.

For organizations building connected devices, embedded systems, enterprise software, or critical infrastructure, this conversation highlights why cyber defense strategies must evolve for the AI era.

 

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