Quantum Safe Transition – Now

Every confidential message youโ€™ve sent may already be stored โ€” waiting to be unlocked. This is the essence of the โ€œ๐—ต๐—ฎ๐—ฟ๐˜ƒ๐—ฒ๐˜€๐˜-๐—ป๐—ผ๐˜„, ๐—ฑ๐—ฒ๐—ฐ๐—ฟ๐˜†๐—ฝ๐˜-๐—น๐—ฎ๐˜๐—ฒ๐—ฟโ€ problem: data intercepted today could be decrypted once quantum computers mature.

This week CSIRO’s Data61 released our new report, ๐™Œ๐™ช๐™–๐™ฃ๐™ฉ๐™ช๐™ข ๐™Ž๐™–๐™›๐™š ๐™๐™ง๐™–๐™ฃ๐™จ๐™ž๐™ฉ๐™ž๐™ค๐™ฃ: ๐™๐™š๐™–๐™ก๐™ž๐™ฉ๐™ฎ, ๐™ƒ๐™ช๐™ง๐™™๐™ก๐™š๐™จ ๐™–๐™ฃ๐™™ ๐™‹๐™–๐™ฉ๐™๐™ฌ๐™–๐™ฎ๐™จ, mapping the scale of the challenge and outlining practical steps for governments and businesses to act now.

Across your organisation and Australiaโ€™s critical digital infrastructure, cryptographic libraries are embedded everywhere: in cameras, phones, routers, cloud servers, and enterprise systems. Few organisations know where they all are. Even with the rollout of โ€œquantum-resistantโ€ algorithms, vulnerabilities will keep emerging as technology evolves.

Our report explains how to move from static defences to crypto-agile systems that can discover, adapt, and modernise encryption dynamically. It also highlights how AI can support cryptographic asset discovery and hybrid defences that bridge classical and quantum-safe security.

These same capabilities are increasingly critical as AI systems themselves become part of the encryption landscape โ€” where sensitive data is accessed, processed, and sometimes retained during inference. Managing quantum-resistant cryptography within AI workflows and ensuring that powerful AI systems only access data securely and verifiably will be a defining challenge for both cyber and quantum resilience in the years ahead.

๐™๐™๐™š ๐™ข๐™š๐™จ๐™จ๐™–๐™œ๐™š ๐™ž๐™จ ๐™จ๐™ž๐™ข๐™ฅ๐™ก๐™š: ๐™ฉ๐™๐™š ๐™ฅ๐™ค๐™จ๐™ฉ-๐™ฆ๐™ช๐™–๐™ฃ๐™ฉ๐™ช๐™ข ๐™š๐™ง๐™– ๐™๐™–๐™จ ๐™–๐™ก๐™ง๐™š๐™–๐™™๐™ฎ ๐™—๐™š๐™œ๐™ช๐™ฃ. ๐™๐™๐™š ๐™ค๐™ฃ๐™ก๐™ฎ ๐™จ๐™–๐™›๐™š ๐™ฉ๐™ž๐™ข๐™š ๐™ฉ๐™ค ๐™—๐™ช๐™ž๐™ก๐™™ ๐™˜๐™ง๐™ฎ๐™ฅ๐™ฉ๐™ค ๐™–๐™œ๐™ž๐™ก๐™ž๐™ฉ๐™ฎ โ€” ๐™ž๐™จ ๐™ฃ๐™ค๐™ฌ. ๐™ƒ๐™ค๐™ฌ ๐™ง๐™š๐™–๐™™๐™ฎ ๐™ž๐™จ ๐™ฎ๐™ค๐™ช๐™ง ๐™ค๐™ง๐™œ๐™–๐™ฃ๐™ž๐™จ๐™–๐™ฉ๐™ž๐™ค๐™ฃ ๐™ฉ๐™ค ๐™›๐™ž๐™ฃ๐™™ ๐™–๐™ฃ๐™™ ๐™›๐™ž๐™ญ ๐™ฌ๐™๐™–๐™ฉ ๐™ž๐™ฉ ๐™˜๐™–๐™ฃโ€™๐™ฉ ๐™ฎ๐™š๐™ฉ ๐™จ๐™š๐™š?


About Me


About me – According to AI

Director/Head of CSIRO’s Data61
Conjoint Professor, CSE UNSW

For other roles, see LinkedIn & Professional activities.

If you’d like to invite me to give a talk, please see here & email liming.zhu@data61.csiro.au

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