An Anthropic AI model reportedly cut the effort required to attack a major post-quantum signature candidate by 67 million times last month, highlighting how quickly advances in technology could reshape the security landscape. Meanwhile, Bitcoin and Ethereum developers have released plans for preparing their networks for the potential arrival of quantum attacks.

Ripple is taking similar precautions with the XRP Ledger, working to ensure its cryptographic defenses can evolve before quantum computers become capable of threatening the keys used to secure wallets and transactions.

Ayo Akinyele, Ripple’s senior director of engineering, told CoinDesk that the company wants to address the issue long before quantum computing turns into an immediate danger. The goal is to allow the ledger and the broader financial infrastructure around it to upgrade gradually without disrupting existing users, assets or applications.

The concern is based on the possibility that sufficiently powerful quantum computers could defeat some of the mathematical assumptions behind current cryptographic systems. An attacker could potentially use information exposed on a public blockchain to derive private keys and take control of funds.

Researchers use the term “Q-Day” to describe the point when quantum computers become capable of carrying out such attacks in practice.

Ripple is therefore treating quantum resistance as a long-term development effort instead of waiting for a crisis and applying a rushed software fix.

Akinyele said the financial sector’s existing infrastructure was not originally engineered with quantum computing threats in mind. As quantum technology progresses, institutions will have to rethink how they protect transactions, digital identities, assets and sensitive information.

Four-Phase XRP Ledger Quantum Plan

Ripple has established a four-stage roadmap designed to prepare the XRP Ledger for the period before and after quantum computing becomes a serious threat.

The first phase involves identifying vulnerable areas of the network and assessing where current cryptographic protections could potentially fail. Developers would then evaluate alternative security mechanisms under the transaction volumes and workloads handled by the ledger.

The next stages would introduce quantum-resistant cryptography alongside existing systems. Running the two approaches in parallel would provide a transition period before the network eventually shifts more broadly to the newer technology.

The roadmap also accounts for a scenario in which quantum capabilities improve much sooner than expected. Ripple says the network would need an accelerated migration option that could replace vulnerable cryptography before attackers have an opportunity to exploit it.

The XRP Ledger already offers account holders the ability to change the keys controlling an account without replacing the account itself. That feature could help simplify a future move to quantum-resistant keys.

Any broader alteration to the ledger’s transaction rules would nevertheless require coordination among the network’s independent validators.

Akinyele stressed that quantum preparedness cannot be reduced to simply replacing one algorithm. It would involve upgrading key-management practices, making infrastructure more adaptable, establishing clearer migration procedures and ensuring the network can evolve without interrupting financial services.

AI Is Adding to the Pressure

Quantum computing is not the only emerging technology challenging cryptographic security. Artificial intelligence is also making it easier to automate the search for weaknesses in cryptographic systems.

As AI becomes more capable, researchers may be able to perform complex security analysis more quickly and with fewer resources than before. This creates an additional challenge for financial networks preparing for the quantum era.

Security systems will need to defend against both future quantum-powered attacks and increasingly efficient AI-assisted efforts to identify vulnerabilities.

Akinyele said the two technologies are fundamentally different but are pushing financial infrastructure toward greater adaptability.

AI is accelerating automation and enabling more autonomous economic activity, while quantum computing is encouraging the industry to think years ahead about how those systems will remain secure.

That trend is already appearing in payments as AI agents begin handling transactions and paying for services without requiring a person to approve each payment individually.

The emergence of agent-based payments could increase demand for payment networks capable of supporting continuous, automated and internet-native financial activity.

Blockchain Networks Prepare for Q-Day

Ripple’s efforts are part of a wider industry response. Bitcoin and Ethereum developers are also examining ways to replace the digital signatures currently securing their networks before quantum computers can compromise them.

The transition will be technically complex. Developers must find cryptographic alternatives that can operate efficiently across large-scale financial networks while remaining compatible with existing hardware and software.

Users will also need enough time to migrate their assets and accounts safely, making an early start critical.

By beginning the process years ahead of a potential quantum breakthrough, blockchain networks can test different technologies, improve migration tools and address technical problems without the pressure of an active attack.

The aim is ultimately to make the shift to quantum-resistant cryptography a planned and gradual upgrade rather than an emergency measure introduced after the threat has already materialized.