Ripple introduit l'IA pour renforcer XRPL : plus de 10 vulnérabilités découvertes, la prochaine version se concentrera sur les corrections de sécurité.

BlockBeats message, March 28, Ripple Labs announced that it will introduce an AI-driven security system on the XRP Ledger, using machine learning tools throughout the entire process of code review, adversarial testing, and vulnerability discovery to address the security challenges brought by the growth of institutional applications.

According to reports, Ripple has formed an AI-assisted “red team” to simulate attack behaviors through fuzzing and automated adversarial testing, having currently discovered over 10 vulnerabilities, which are being prioritized for repair. The company stated that this move will shift the security mechanism from “passive repair” to “active discovery.”

On the development front, Ripple plans to modernize the XRPL code structure, while also raising the standards for protocol changes, requiring that critical updates undergo multiple independent security audits, and expanding the scope of bug bounties and community collaboration.

It is worth noting that the next version of XRPL will not introduce new features, focusing entirely on vulnerability fixes 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, which place higher demands on the security of the underlying ledger.