Claude Mythos chain exposes AI defense stack lag

Korea's financial regulator is now running AI-specific security inspections, and the timing is pointed. A Korea Times op-ed published this week argues that enterprise and government cybersecurity infrastructure is structurally unprepared for the wave of AI-augmented offensive tooling already in circulation. The two examples cited are concrete: the Claude Mythos exploit chain and the Shai-Hulud worm, both demonstrating AI compressing attacker timelines from months to days. Signature-based and rule-based defenses, which still dominate most production environments, were built to counter a threat landscape that no longer exists. Essentially: (Korean financial regulators, legacy security vendors) are playing institutional catch-up against attackers who have already closed the capability gap. - The Claude Mythos exploit chain shows AI automating multi-stage attack sequences that previously required sustained human expertise over months. - The Shai-Hulud worm demonstrates AI-driven propagation that outpaces signature update cycles by design. - Korea's expanded AI inspection regime signals government acknowledgment of the gap, even as remediation timelines remain undefined. The offensive-defensive asymmetry isn't new, but AI has turned a gradual drift into an acceleration that legacy security architecture wasn't built to absorb.