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Why AI labs disagree about slowing down
Four shops, one question. Where the arguments actually split, and what a risk team can use.
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Featured insight · Quantum
Six podcasts and three standards bodies spoke this month about post-quantum cryptography. Here are the five questions for teams who build with and invest in AI and quantum.
14 updates since 9am
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Four shops, one question. Where the arguments actually split, and what a risk team can use.
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NIST closed two comments on FIPS 203. A lab note put Kyber’s parameter sets back in the thread. Four risk memos used harvest-now, decrypt-later, and only one of them had done the inventory.
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Prior year: “We may be affected by changes in technology.”
This year: “Advances in quantum computing could weaken the cryptography that protects customer data and our internal systems. We have started an inventory of where that cryptography is used.”
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The key-encapsulation scheme most of this week’s sources still call by its competition name. Standards bodies call it ML-KEM. When a vendor says Kyber, ask which parameter set, and whether they mean the standard or an earlier draft.
The day a quantum computer can break the public-key cryptography in wide use. Treat it as a planning assumption. This week’s sources still use “before 2030” and they do not agree on how literal that is.
An adversary copies encrypted traffic or stored ciphertext today and decrypts it when a capable machine exists. The exposure is data that must remain secret longer than that wait.
The federal information-processing standard built on ML-KEM. It is the document procurement teams will point at. “Supports post-quantum” is not the same sentence as “implemented FIPS 203”.
If the secrecy lifetime of the data, plus the time a migration really takes, is longer than the time until a cryptographically relevant quantum computer, the migration should already be underway.
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