Ripple (XRP) announced an AI-driven security program for the XRP Ledger, with a dedicated red team already identifying more than 10 bugs in the blockchain's codebase.
The next XRPL software release will focus entirely on bug fixes and improvements without introducing new features.
Ayo Akinyele, Head of Engineering at RippleX, outlined the initiative in a blog post detailing how machine learning tools will be integrated across the protocol's entire development lifecycle.
The strategy includes adversarial code scanning on every pull request, automated stress testing, and continuous threat modeling.
AI Team Targets Legacy Code Issues
The AI-assisted red team uses fuzzing and automated adversarial testing to simulate attacker behavior, focusing on how features interact where legacy code meets new functionality.
Low-severity bugs have been disclosed publicly, with the remainder being prioritized for fixes.
XRPL has operated continuously since 2012, processing over 100 million ledgers and facilitating more than 3 billion transactions.
The security push comes as Ripple expands institutional use cases, including a pilot under Singapore's BLOOM initiative and adoption of its RLUSD stablecoin, which surpassed $1 billion in market capitalization within its first year.
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Stricter Amendment Standards
Ripple is raising requirements for protocol amendments, with multiple independent security audits now required for significant changes.
The company is expanding collaboration with XRPL Commons, the XRPL Foundation, and independent researchers.
The six-pillar strategy also includes modernizing the XRPL codebase to address structural issues like limited type safety and inconsistent feature interactions. Ripple plans to publish security criteria for new amendments in collaboration with the XRPL Foundation in coming weeks.
XRP traded at $1.34 on March 26, down 5% on the day and at its lowest price in more than two weeks, according to CoinGecko. The token remains 63% below its July 2025 all-time high of $3.65.
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