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Cryptographic risks from AI and quantum computing

Updated 1 time since CLSTR started tracking revisions of this situation.

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2026-10-11 12:25 UTC → 2026-10-11 14:38 UTC · added removed

Experts are evaluating the security implications of emerging technologies, specifically artificial intelligence and quantum computing, on existing cryptographic standards. In the blockchain sector, researchers have expressed concern that AI-driven mathematical progress could accelerate the ability to break the elliptic curve digital signature algorithm (ECDSA). Discussions among developers involve potential protocol changes and Ethereum researcher Justin Drake has warned that such advances could potentially reduce the timeframe for a proposed ‘Cryptographic Recovery Mode’ breach to protect funds, months rather than relying solely on years. In response, developers are debating mitigation strategies. While some suggest moving assets funds to new addresses. addresses, Dragonfly managing partner Haseeb Qureshi has criticized this narrow approach, proposing a ‘Cryptographic Recovery Mode’ to allow validators to recover funds via hash-based backup signatures. Discussions regarding protocol changes, such as BIP 360, BIP 361, and P2TR v2, continue as the community seeks to prevent the theft or freezing of assets. Broadly, the development of quantum computing presents a strategic risk to internet encryption systems, necessitating a transition systems. Europol has urged the cryptocurrency industry and policymakers to proactively adopt post-quantum cryptography. While researchers note that quantum machines remain in a prototype stage due In the United States, the Government Accountability Office (GAO) has issued 89 recommendations to high error rates, over 20 federal agencies, emphasizing the race need for ‘quantum advantage’ continues. Recent claims of immediate cryptographic inventories to counter ‘harvest now, decrypt later’ threats. Various governments, including the US, EU, Australia, UK, and Canada, have set quantum readiness targets between 2030 and 2035. While companies like IBM claim milestones have faced scrutiny, as some results were reportedly replicable by high-performance classical GPUs. in quantum advantage, technical hurdles like qubit error rates remain. Consequently, blockchain projects like Algorand and platforms like Coinbase are already developing post-quantum resilience roadmaps.

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  1. 2026-10-11 14:38 UTC Cryptographic risks from AI and quantum computing
  2. 2026-10-11 12:25 UTC Cryptographic risks from AI and quantum computing

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