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When Anthropic released Claude Code Security, cybersecurity stocks dropped sharply. The market reaction seemed clear: if AI can autonomously find vulnerabilities, perhaps cybersecurity has just been commoditized. But that assumes vulnerabilities are the core problem. They aren’t. Cybersecurity is structurally asymmetric. Businesses are exposed. Attackers are hidden. Defenders must patch everything. Attackers need one flaw. If an attack succeeds, criminals get paid. If it fails, they try again. Attackers dictate the pace. Businesses can never sleep. Noise helps attackers. Exhaustion hurts defenders. It’s an uneven game by design. AI may discover vulnerabilities faster. It may reduce cost. It may improve efficiency. But efficiency does not fix asymmetry. In cybersecurity, speed is often a stress multiplier. Escalation is not a strategy, for there is no version of the future where AI remains exclusive to defenders. AI hasn’t solved cybersecurity. It has exposed how narrowly we’ve framed the problem. The real question isn’t whether machines can find flaws in code better than humans. It’s whether we - consumers, cybersecurity companies and investors alike - are willing to rethink the architecture that makes those flaws economically decisive in the first place.