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Ripple introduces AI to comprehensively strengthen XRPL: Over 10 vulnerabilities already discovered, with the next version focusing on security fixes.
Golden Finance reported that on March 28, Ripple Labs announced that it will introduce an AI-driven security system on the XRP Ledger, utilizing machine learning tools throughout the entire process of code review, adversarial testing, and vulnerability discovery to address security challenges arising from the growth of institutional applications.
According to reports, Ripple has formed an AI-assisted “red team” to simulate attack behaviors through fuzz testing and automated adversarial testing, having already discovered over 10 vulnerabilities that are being prioritized for repair. The company stated that this move will shift the security mechanism from “passive repair” to “active discovery.”
It is worth noting that the next version of XRPL will not introduce new features, focusing entirely on vulnerability repairs and system hardening, highlighting a significant increase in security priority. This initiative comes as Ripple accelerates the expansion of its institutional business, including stablecoin and real-world asset (RWA) application scenarios, raising the security requirements for the underlying ledger.