An Anthropic AI model reportedly reduced the amount of work required to compromise a leading post-quantum digital signature candidate by 67 million times last month. At the same time, Bitcoin and Ethereum developers have outlined their own approaches for transitioning to quantum-resistant security.
Ripple is now stepping up preparations for the XRP Ledger as concerns grow that advances in quantum computing could eventually undermine the cryptographic protections currently securing blockchain accounts and transactions.
Ayo Akinyele, Ripple’s senior director of engineering, said the company is focused on making the transition before quantum computing develops into an immediate security risk. The aim, he told CoinDesk, is to give financial infrastructure enough time to evolve without interfering with the assets, applications and users already operating on the network.
The potential threat comes from the ability of sufficiently powerful quantum computers to defeat certain mathematical problems that underpin modern cryptography. If that happens, attackers could potentially use information already visible on a blockchain to derive private keys and gain control of assets.
Researchers refer to the point at which quantum computers become capable of carrying out such attacks as “Q-Day.”
Ripple, however, is not waiting for that milestone to arrive. Instead, it is approaching quantum security as a multiyear infrastructure upgrade rather than a change that can be handled through a quick software patch.
Akinyele said financial infrastructure was originally designed without quantum computing in consideration. As quantum capabilities improve, institutions will have to reassess how they protect digital identities, transactions, assets and sensitive information.
XRP Ledger’s Four-Step Quantum Roadmap
Ripple has developed a four-phase strategy covering the period before and after quantum computing becomes a credible threat.
The first stage focuses on mapping potential vulnerabilities throughout the XRP Ledger and determining which components could be affected. Developers would then evaluate alternative cryptographic techniques based on the demands of the network’s existing workload.
The next stages would introduce quantum-resistant cryptography alongside the current security systems, allowing both approaches to operate during a transition period. Eventually, the network could migrate to the new cryptographic framework more broadly.
Ripple has also considered an emergency scenario in which quantum technology advances much faster than anticipated. In such a case, the XRP Ledger would need a mechanism to move away from vulnerable cryptography quickly enough to prevent exploitation.
One feature already available on the XRP Ledger could help with the transition. Users can change the keys associated with an account without having to create a completely new account. Ripple believes this capability could make it easier for users to adopt quantum-resistant keys in the future.
A network-wide change would still require coordination among the XRP Ledger’s independent validators.
Akinyele emphasized that quantum migration would involve more than replacing a single cryptographic algorithm. It would require more adaptable infrastructure, stronger approaches to key management, clearer upgrade mechanisms and systems capable of evolving while keeping financial operations running.
AI Could Accelerate Cryptographic Attacks
The push for quantum resistance comes as artificial intelligence is adding a separate layer of pressure to cryptographic security.
AI systems can increasingly automate the process of analyzing cryptographic schemes and searching for weaknesses, potentially reducing research timelines that previously required highly specialized expertise.
This means financial networks face a dual challenge: security systems must be capable of resisting future quantum attacks while also remaining robust against increasingly efficient AI-assisted efforts to find vulnerabilities.
Akinyele views AI and quantum computing as different technologies with a similar effect on financial infrastructure. AI is pushing the industry toward greater automation and autonomous economic activity, while quantum computing is forcing developers to plan further ahead for security.
The evolution is already appearing in payment systems through agentic transactions, where AI-powered agents can independently make payments and purchase services without requiring human approval for every transaction.
That trend increases the need for payment networks capable of operating continuously and supporting autonomous, internet-based economic activity.
Bitcoin and Ethereum Also Preparing
Ripple’s work mirrors efforts underway across the broader blockchain industry. Bitcoin and Ethereum developers are also examining how their networks could replace existing digital-signature mechanisms before quantum computers become capable of breaking them.
Finding a quantum-resistant algorithm is only one part of the problem. The replacement technology must be capable of handling the scale of a global financial network while remaining practical for existing infrastructure.
Millions of users would also need sufficient time to migrate their accounts and assets without creating unnecessary risks.
Beginning the process early gives blockchain networks more time to evaluate potential cryptographic standards, test migration procedures and resolve technical challenges.
The ultimate goal is to make the shift to quantum-resistant security a controlled and gradual upgrade rather than an emergency response triggered after quantum technology has already become capable of attacking existing systems.
