Ripple引入AI全面加固XRPL:已发现超10个漏洞,下个版本专注安全修复

XRP0,44%

BlockBeats 消息,3 月 28 日,Ripple Labs 宣布,将在 XRP Ledger 引入 AI 驱动的安全体系,通过机器学习工具贯穿代码审查、对抗测试及漏洞发现全过程,以应对机构级应用增长带来的安全挑战。

据披露,Ripple 已组建 AI 辅助「红队」,通过模糊测试(fuzzing)和自动化对抗测试模拟攻击行为,目前已发现超过 10 个漏洞,并正在优先修复。公司表示,此举将使安全机制从「被动修复」转向「主动发现」。

在开发层面,Ripple 计划对 XRPL 代码结构进行现代化升级,同时提高协议变更标准,要求关键更新必须通过多重独立安全审计,并扩大漏洞赏金及社区协作范围。

值得注意的是,下一版本 XRPL 将不引入新功能,完全聚焦漏洞修复与系统加固,凸显安全优先级显著提升。该举措正值 Ripple 加速拓展机构业务,包括稳定币及现实世界资产(RWA)应用场景,对底层账本安全性提出更高要求。

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