Solana co-founder Anatoly Yakovenko has identified a sobering threat vector: the possibility that AI could crack post-quantum cryptography signature schemes before the industry fully understands their mathematical vulnerabilities. He noted that practical deployment risks compound the theoretical ones — hidden weaknesses in how PQC schemes are implemented in the wild remain poorly mapped.
As a mitigation path, Yakovenko floated two options: 2/3 multi-signature wallet support for PQC schemes, or native support baked in via Program Derived Addresses at the transaction-processor level. Neither is a silver bullet, but both add redundancy layers that could limit blast radius if a scheme is compromised.
The comments reflect a broader unease in the cryptography community about deploying PQC standards before adversarial AI capabilities are well understood.
Frequently asked questions
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What are the proposed solutions to mitigate the risks of AI cracking post-quantum cryptography?
Anatoly Yakovenko suggested two options: implementing 2/3 multi-signature wallet support for PQC schemes and integrating native support through Program Derived Addresses at the transaction-processor level.
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Why is there concern about deploying post-quantum cryptography standards now?
There is unease in the cryptography community regarding the deployment of PQC standards before fully understanding the adversarial capabilities of AI and the potential vulnerabilities in their implementation.
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