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Benchmarking Post-Quantum Key Encapsulation in S3-Compatible Object Storage under Client Concurrency

Benchmarking ML-KEM for S3-compatible object storage under real-world concurrency shows post-quantum client-side encryption is practically viable—timely data for enterprises planning harvest-now-decrypt-later defences.

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Filed by arXiv Crypto & Security16 October 20261 min readRead at source ↗

arXiv:2610.21457v1 Announce Type: new Abstract: Data encrypted today with classical public-key algorithms could be decrypted once large quantum computers exist. Cloud object stores keep data for years, so the client-side encryption that protects it must move to post-quantum algorithms such as ML-KEM, which adds a key-encapsulation step and a larger ciphertext to every stored object. So far, the cost of ML-KEM has been measured for the algorithm on its own and for securing network connections, b

Editorial Analysis

Why it matters

With harvest-now-decrypt-later attacks a stated concern of ENISA and BSI, concrete performance data for PQC in cloud storage helps CISOs justify and schedule migration without blind-guessing throughput impact.

What to do

Pilot ML-KEM client-side encryption on your highest-sensitivity S3 buckets and measure latency impact under production concurrency levels.

Board brief

Post-quantum encryption for cloud storage is now benchmarked as production-feasible—plan migration before long-retained data becomes a quantum-era liability.

Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.

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