The Quantum Security Gap Isn't an Encryption Problem. It's a Query Problem

Most "quantum-ready" security stops at encrypting data at rest. But every time that data is queried, it has to be decrypted first — and that's the window a quantum-capable adversary walks through. This whitepaper explains how DMM's approach to AI memory closes that gap.

Inside, you'll find:

✅ The Real Threat Model – Why "harvest now, decrypt later" makes today's encrypted data tomorrow's breach, and what that means for data with long confidentiality lifetimes (health, financial, government)

✅ NIST PQC in Practice – How DMM's tokenisation scheme aligns with post-quantum standards — not as a bolt-on, but built into how data is stored and retrieved

✅ Query Without Exposure – The core mechanic: searching encrypted data associatively, without ever decrypting it, and how it differs from encrypt-then-decrypt-to-query architectures

✅ Why the Architecture Is the Security Boundary – Deliberate token ambiguity, contextual resolution, zero key material for Shor's algorithm to target.

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