Ripple Uses AI to Strengthen XRP Ledger Security for Growth
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Ripple (XRPL) announced on 26 March it is integrating AI across testing, code reviews, and threat modeling to scale security for broader payments, tokenization and institutional use; - An AI-assisted red team has already identified more than 10 low-severity bugs, accelerating continuous testing and protocol hardening; - Ripple reframes security as an ongoing process amid rising AI-led contract scanning, a protocol update that supports crypto adoption, DeFi/token launch safety and CEX/DEX integration readiness.
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- Ripple is adding AI tools across XRPL testing, reviews, and threat modeling.
- An AI-assisted red team has already found more than 10 low-severity bugs.
- Rising AI-led contract scanning is pushing blockchain teams toward constant testing.
Ripple is moving XRP Ledger security into a new phase as the network prepares for broader payments, tokenization, and institutional use. A new engineering update from Ripple sets out a more proactive security model built around AI-assisted testing, continuous review, and stricter standards for code changes.
Importantly, Security is no longer being framed as a one-time audit step. Ripple is treating it as a constant process that has to scale with the ledger’s growing role in financial infrastructure.
Ripple Adds AI to XRPL Security Testing
In a blog post on 26th March, Ripple said XRPL has been running since 2012, has processe…
Read The Full Article Ripple Uses AI to Strengthen XRP Ledger Security for Growth On Coin Edition.
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