Powerful AI tools have fundamentally altered cyber defense by shrinking the time it takes to exploit a software flaw. What once took skilled hackers days, weeks, or months can now be weaponized in hours or days, making traditional defense and patching strategies obsolete.

AI will find vulnerabilities at an unprecedented rate. The real crisis will be the organizational inability to patch them, especially in critical infrastructure with long update cycles and unsupported software where original developers are long gone. The problem shifts from finding flaws to fixing them at scale.

Advanced AI cyber tools like Anthropic's Mythos don't create new vulnerabilities; they excel at discovering existing, dormant bugs in human-written code. Their proliferation will catalyze a one-time, industry-wide upgrade cycle, ultimately hardening global infrastructure and leading to a more secure equilibrium between AI-powered offense and defense.

Frontier AI models are dramatically reducing the time it takes for a newly discovered software vulnerability to be turned into a functional exploit. This acceleration means traditional, onerous patching cycles are no longer viable. Organizations must find new ways to patch systems almost immediately, as exploits can appear within hours of a vulnerability's announcement.

Experienced CISOs are less concerned about AI models 'going wild' and becoming malicious hackers. The more practical and immediate problem is that AI will dramatically increase the volume of vulnerabilities discovered in codebases. Security teams will be overwhelmed not by sophisticated AI attacks, but by the sheer quantity of legitimate issues to triage and fix.

Powerful AI models haven't created fundamentally new ways to hack. Instead, their danger lies in their ability to find more vulnerabilities faster and link existing attack chains with greater success. They are a force multiplier for existing techniques, not inventors of new ones.

AI models are better at finding bad code than writing good code. This capability will rapidly uncover vulnerabilities in open-source, custom, and vendor software that would have otherwise taken 10 years to find. This creates an urgent, large-scale need for patching across all industries.

Advanced AI models capable of finding complex code vulnerabilities are expected to be publicly available within months. This puts enterprises in an urgent race to find and patch their own security holes before malicious actors use the very same tools to exploit them.

AI agents are not inventing new categories of cyberattacks. Instead, they automate and accelerate traditional methods—like vulnerability discovery and exploit chaining—at a speed and scale far surpassing human capabilities. This dramatically shortens the timeline for organizations to adapt their defenses.