What Happens to AI Security When Computing Itself Changes What happens to enterprise security when the underlying compute paradigm shifts from classical to quantum? Most current security architectures assume the limits of classical computing. Quantum computing challenges that assumption. When encryption assumptions change, security does not degrade gradually, it breaks structurally. This has implications far beyond cryptography, it affects the entire digital stack that AI systems rely on. Most AI conversations today focus on models, data, and adoption. A quieter but more fundamental constraint is emerging, the stability of the cryptographic foundations those systems depend on. One way to understand this is through what I think of as the Compute–Security Dependency Model. First, compute defines feasibility. What can or cannot be broken depends on computational limits. Second, cryptography assumes those limits. Today’s encryption standards are built on what classical systems cannot ...