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AI, Quantum, and Digital Trust: Four Topics for Discussion. SQLL session, Baridhara DOHS, 3 October 2026

Syed Muntasir Mamun

Published Oct 3, 2026• 0 citations
Publisher

Abstract

Session slides. Four topics: latest trends in AI and prospects for quantum computing; signed memory and cognitive sovereignty; non-deterministic and unpredictable cryptographic keys; harvest now, decrypt later. Dr. Syed Muntasir Mamun, ORCID 0000-0001-6845-2853. SQLL, Baridhara DOHS, 3 October 2026.
DOI
10.5281/zenodo.23107902

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Governments are adopting artificial intelligence at the same moment that the cryptographic assumptions under their long-lived secrets are being placed on a clock. This paper treats four developments as a single problem of digital trust rather than as separate technical topics. First, AI systems are moving from content generation to agentic action, and are already exposed to impersonation, poisoning and unauthorised use. Second, persistent memory across sessions creates a new class of institutional record, whose integrity cannot be reduced to a signature. Third, cryptographic security depends on unpredictable keys, not on non-determinism, and better randomness does not answer a quantum attack on public-key mathematics. Fourth, harvest-now-decrypt-later means that the threat to data which must remain confidential for decades exists before a cryptographically relevant quantum computer does. Drawing on published resource estimates, the NIST post-quantum standards, and the positions of major security agencies on quantum key distribution, the paper argues that preparation should begin with an inventory of vulnerable cryptography, hybrid migration of high-value key exchange, and an explicit regime for the ownership and correction of AI memory. The implications for diplomatic communications and for states with constrained compute and language resources are developed throughout. KSCCN discussion paper prepared for the SQLL session on AI and quantum computing, Baridhara DOHS, 3 October 2026. Dr. Syed Muntasir Mamun, ORCID 0000-0001-6845-2853. The views expressed are those of the author.
K SC Governments are adopting artificial intelligence at the same moment that the cryptographic assumptions under their long-lived secrets are being placed on a clock. This paper treats four developments as a single problem of digital trust rather than as separate technical topics. First, AI systems are moving from content generation to agentic action, and are already exposed to impersonation, poisoning and unauthorised use. Second, persistent memory across sessions creates a new class of institutional record, whose integrity cannot be reduced to a signature. Third, cryptographic security depends on unpredictable keys, not on non-determinism, and better randomness does not answer a quantum attack on public-key mathematics. Fourth, harvest-now-decrypt-later means that the threat to data which must remain confidential for decades exists before a cryptographically relevant quantum computer does. Drawing on published resource estimates, the NIST post-quantum standards, and the positions of major security agencies on quantum key distribution, the paper argues that preparation should begin with an inventory of vulnerable cryptography, hybrid migration of high-value key exchange, and an explicit regime for the ownership and correction of AI memory. The implications for diplomatic communications and for states with constrained compute and language resources are developed throughout. Also available on Academia.edu: https://www.academia.edu/attachments/134650176/download_file?s=portfolio
These interview talking points open on the locks-versus-the-archive fallacy: treating post-quantum cryptography as a software migration does not protect historically stolen data. They state that harvest-now-decrypt-later is already underway, with encrypted enterprise archives being hoarded pending a later break of current encryption, and that security has to move from perimeter defence to data-level resilience so the archive can survive independently of who holds the transient keys. They then describe data-centre speciation into three forms: silicon compute (hot, GPU-dense infrastructure for real-time AI), molecular halls (DNA or synthetic-polymer archives for permanent, zero-power retention), and sovereign caches (geopolitically bound, physically air-gapped, jurisdictionally hardened local vaults). Interview talking points by Dr. Syed Muntasir Mamun, ORCID 0000-0001-6845-2853.