XRP<\/a> Ledger<\/strong> code just before its deployment on mainnet. Through collaboration between artificial intelligence tools and human expertise, the anomaly was identified in time. An automated detection system spotted a weakness that traditional audits could have potentially missed, allowing engineers to apply an immediate fix.<\/p>\n\n\n\nThis rapid intervention illustrates the growing importance of automated auditing in the blockchain ecosystem. In an environment where hacks and exploits regularly cost millions<\/strong>, integrating AI into verification processes becomes a strategic lever for strengthening on-chain security. Upstream prevention is now a major competitive advantage for protocols.<\/p>\n\n\n\nBy correcting the vulnerability before production deployment, the XRPL Foundation avoided a high-risk scenario. An active flaw on a network of this scale could have triggered massive FUD and immediate loss of investor confidence.<\/p>\n\n\n\n\n