In April 2026, Anthropic announced Project Glasswing and its underlying model, Claude Mythos Preview, a frontier AI system the company considered too dangerous to release publicly due to its autonomous vulnerability discovery capabilities.The security industry reacted as it always does at these moments: with alarm and tactical scrambling. This white paper argues that reaction, while understandable, is the wrong one.Mythos is not a warning that AI-powered attacks are about to become dangerous. It is a confirmation that a predictable, multi-year capability curve has been advancing on schedule, and will continue to do so for eight to ten more years. This paper presents three interconnected arguments: that AI capability events follow a documented cadence making each threshold event anticipatable; that the structural lag between attacker adoption and defender detection is architectural, not operational; and that the only detection design that escapes compounding obsolescence is one anchored in organizational ground truth rather than learned content signatures.