Ripple says it is overhauling how security is handled on the XRP Ledger, adding AI-assisted testing, a dedicated red team, stricter amendment review standards, and a broader push to modernize parts of the codebase. Notably, Ripple is explicitly tying XRPL’s next phase of security work to its ambitions in global payments, tokenized assets, and institutional financial infrastructure.
Ripple broke the plan into several layers. It said AI is being integrated across the software development lifecycle through adversarial code scanning, AI-assisted reviews on every pull request, threat modeling, attack-surface mapping, and simulations of edge cases and stress scenarios that would be difficult to generate manually. The company also said it has established a dedicated AI-assisted red team focused on how XRPL features interact in real-world conditions, especially where legacy logic meets newer functionality.
That red-team effort is already producing findings, according to Ripple and developers involved in the initiative. In the blog post, Ripple said the team has uncovered “10+ bugs,” with only low-severity issues disclosed publicly so far and all findings being prioritized for fixes. In a separate X post, Mayukha Vadari said the effort had already been “incredibly fruitful,” adding that the team had found “a number of bugs across a range of severities.” She described the project as “exactly the kind of continuous, adversarial push XRPL needs as it continues to grow.”
Ripple is also using the moment to address broader code quality issues that sit above any single bug. The post says many problems in long-lived systems stem from structural weaknesses such as limited type safety, inconsistent feature interactions, weak invariant enforcement, and assumptions that are either undocumented or not enforced. The implication is that Ripple is not only trying to catch vulnerabilities earlier, but to reduce the conditions that allow classes of vulnerabilities to recur.
At press time, XRP traded at $1.33.
