Ripple says that after a serious flaw was discovered in a proposed batch fix (XLS-56), an incident that revealed flaws in the review even while the latest network measures prevented any network impact, Ripple says it is tightening the XRP Ledger patching process.
In a post on X, RippleX Chief Engineering Officer J. Ayo Akinyele said the bug was detected by Cantina AI last week, reported responsibly and quickly confirmed as critical. This issue was never used on the mainnet because the fix was not yet activated and the fix was released to disable both the batch and the relevant fix while the wider fix was being considered.
Ripple responds to critical error
Akinele did not try to soften the importance of the relief. “Party reforms have gone further than they should have,” he said. “As active participants in the reform lifecycle, we have a responsibility to ensure that review, signaling and activation safeguards meet the highest standard. In this case, we must do better.”
At the same time, Ripple considers this episode as a failure of the first stage review, and not the XRPL management model itself. Akinele said the “remediation process was as designed”, noting that the activation gate prevented damage to the main network and the bug bounty disclosure route worked as intended. But he added a more stark warning: “These safeguards are important, but they should serve as the last line of defense, not the first.”
This distinction carries through to the rest of Ripple’s response. Instead of proposing tighter centralized control, Akinele argued that the security of corrections to the XRPL should be shared among key contributors, validators, the XRPL Foundation and outside researchers. “No single entity controls activation. No single entity is at risk in isolation,” he said, describing the structure as both a result of decentralization and strength, as long as it is matched by layered protection and better coordination.
Ripple’s proposed fixes are extensive. Akinele said future releases that introduce features with a “theoretical risk of breach” will undergo multiple independent audits with reputable security firms in coordination with the XRPL Foundation. The idea is simple: different teams solve different classes of problems, and redundancy reduces blind spots when the code reaches a critical consensus behavior.
The company also plans to expand the bug bounty program and formalize competitive testing campaigns before activation. Akinelle pointed to initiatives such as the lending attack and a hackathon sponsored by UBRI as examples for this approach, arguing that it is much cheaper to encourage white hat attackers before they launch than to respond afterwards. He added that lessons from the Batch incident have already affected other components of the roadmap, and said that Ripple is “deliberately holding off on lending” to allow for more review, testing and verification before moving to activation.
Part of this next phase will rely heavily on AI. Akinyele said Ripple incorporates AI-assisted code review, automatic invariant detection, agency uncertainty and simulated attack scenarios into its software development cycle. “AI will not replace expert C++ engineers, but augment them,” he wrote, especially when “subtle logic operations at critical points can pose too much risk.”
Long term, Ripple says it wants formal verification to become standard for high-risk ledger components. This includes modeling the behavior of modifications before activation, proving the safety properties of critical components, and integrating formal methods from the XLS specification through implementation and testing. The broader objective, Akinele said, is to ensure that the reform code is not only functionally sound, but also meets the specified safety and security features.
At press time, XRP was trading at $1.3698.
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