Blockchain company Ripple has announced plans for a major overhaul of its XRP Ledger security system, including derivatives. artificial intelligence.
In this move, the company is bringing AI-powered tools to detect and fix vulnerabilities such as network scales, Ripple said. words on March 26.
According to Ripple, as XRP images As the ledger grows in complexity and use in organizations, maintaining robustness has become a priority rather than a concurrent process.
Of course, since its launch in 2012, the XRP Ledger has processed more than 100 million ledgers and more than 3 billion transactions, enabling global payments with tokens.
It is worth noting that between December 2025 and February 2026, the XRPL developer team made several upgrades, including Authorized Domains, aimed at speeding up the establishment of organizations. The current push for security continues to grow as the network grows to meet ever-increasing demands.
The statement said that at the core of this new approach is the integration of AI across the development lifecycle. Advanced tools are being used to analyze code, identify edge cases, and detect hidden failures that traditional testing methods can ignore.
“For XRPL, this is a huge opportunity. AI allows us to switch from the destructive to the destructive, promoting the records faster and more confidently than ever before,” said Ripple.
The move will allow manufacturers to identify early risks and address them quickly, reducing the chance of problems reaching production.
The red band of Ripple AI support
The crypto currency The firm added that it is deploying a red team supported by AI to conduct continuous pressure tests based on real-world scenarios through adversary testing and disruption, revealing early and solving several low-level problems.
At the same time, the company also noted that it is modifying the XRPL codebase to fix design weaknesses, including inconsistent designs and legacy concepts, to improve authentication and security.
Meanwhile, the new security reform will expand efforts beyond internal groups by expanding cooperation with environmental partners, including the XRPL Foundation, independent researchers, and external security companies, to increase monitoring and reduce blind spots.
Similarly, strict standards are also being introduced for network upgrades. The proposed changes will undergo rigorous testing, including several independent auditions and bug fixes, before they are approved.
