Beyond The AI Hype: Why Continuous Security Validation Matters More Than Ever

InnovationBeyond The AI Hype: Why Continuous Security Validation Matters More Than EverByLydia Zhang,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)Jun 04, 2026, 07:30am EDTLydia Zhang, President and Co-founder of Ridge Security. getty​Every few months, cybersecurity gets a new AI headline that promises to change everything. The latest is Anthropic’s preview of Claude Mythos, an AI system capable of discovering vulnerabilities in production software. It joins a growing list of AI-driven offensive security milestones.​Most of the conversation has focused on one question: Can AI find vulnerabilities? The answer is yes.​The bigger issue is what happens when AI can continuously discover flaws, generate exploits and move through attack paths at machine speed. That shifts the economics of cyber offense in a very real way.​For defenders, it should also change the conversation.​AI is speeding up both attackers and risk.The same AI systems that help identify vulnerabilities also generate insecure code. Research from Veracode, Apiiro and others has shown that AI-generated code frequently introduces common security flaws, usually at higher rates than human-written code. And attackers only need one path into an environment.​Meanwhile, defenders are expected to manage thousands of findings across cloud infrastructure, applications, APIs, endpoints and third-party suppliers.​AI widens that gap by enabling attackers to move faster than traditional security programs are designed to respond. For years, the industry’s answer has been more visibility: scanners, dashboards and alerts.​But most teams are already overwhelmed, and visibility by itself does not show which risks are truly exploitable. And that distinction matters more than ever.​Finding vulnerabilities is not the same as defending against them.Traditional vulnerability manageme...