Ripple turns to AI to stress-test the XRP Ledger as institutional use cases scale

Tech Share Share this article Copy link X icon X (Twitter) LinkedIn Facebook Email Ripple turns to AI to stress-test the XRP Ledger as institutional use cases scale The next XRP Ledger release will be dedicated entirely to bug fixes and improvements. By Shaurya Malwa Mar 28, 2026, 5:30 a.m. Make preferred on What to know : Ripple is rolling out an AI-driven security strategy for the XRP Ledger that embeds machine learning tools across the entire development lifecycle, from code review to adversarial testing. A new AI-assisted red team has already uncovered more than 10 bugs and is using fuzzing and automated adversarial testing to find edge cases and hidden failure modes in the decade-old codebase. Ripple is prioritizing security by dedicating the next XRPL release solely to fixes and hardening, tightening amendment standards, and expanding collaboration and audits as it pursues larger institutional and real-world asset use cases. Ripple is overhauling how it secures the XRP Ledger, and AI is at the center of the effort. Its engineering team outlined a new AI-driven security strategy for the XRP Ledger in a detailed post earlier this week, one that integrates machine learning tools across the protocol's entire development lifecycle. The strategy includes AI-assisted code scanning on every pull request, automated adversarial testing guided by threat models, and a dedicated AI-assisted red team that continuously analyzes the codebase and how features interact in real-world scenarios. A newly-created 'red team' has already identified more than 10 bugs, with low-severity issues disclosed publicly so far and the remainder being prioritized and fixed. The team uses fuzzing and automated adversarial testing to simulate attacker behavior at scale, surfacing vulnerabilities earlier and with greater coverage than traditional auditing approaches. "AI allows us to shift from reactive debugging to proactive, systematic discovery of vulnerabilities, strengthening the ledger faster and with greater confidence than ever before," Ripple wrote. The initiative comes as the XRPL handles an increasingly complex workload. The ledger has been operating continuously since 2012, processing over 100 million ledgers and facilitating more than 3 billion transactions. A codebase of that age naturally reflects "design decisions made in earlier phases of the network, assumptions that held at smaller scale, and patterns that predate modern tooling." The AI tools are designed to systematically find the edge cases and hidden failure modes that accumulate in any long-running production system. The strategy is built across six pillars. Beyond the AI-assisted scanning and red team, Ripple is modernizing the XRPL codebase itself to address structural issues like limited type safety and inconsistent interaction patterns between features. The company is expanding security collaboration with XRPL Commons, the XRPL Foundation, independent researchers, and validator operators. Standards for protocol amendments are being raised, with multiple independent security audits now required for significant changes alongside expanded bug bounties and adversarial testing environments. And the next XRPL release will be dedicated entirely to bug fixes and improvements without new features, a signal that the engineering team is treating the hardening effort as a near-term priority. The timing aligns with Ripple's expanding institutional footprint. The company is currently running a pilot under the Monetary Authority of Singapore's BLOOM initiative, expanding Ripple Payments globally, pursuing an Australian financial services license, and pushing adoption of its RLUSD stablecoin. A ledger targeting tokenized real-world assets, central bank-backed trade finance, and enterprise payment flows needs security infrastructure that scales alongside the use cases it supports. The approach connects to a broader industry trend. Ethereum launched a dedicated post-quantum security hub this week backed by eight years of research and 10-plus client teams shipping weekly devnets. Google set a 2029 deadline for migrating its authentication services to quantum-resistant cryptography. Across both traditional tech and crypto, the emphasis is shifting from reactive patching to proactive, AI-augmented security engineering. Meanwhile, the Ripple engineering team plans to publish security criteria for new amendments in collaboration with the XRPL Foundation and share findings transparently with the community in the coming weeks. More For You The Definitive Stablecoin Landscape Series: North America By CoinDesk Research Mar 26, 2026 Commissioned by Ripple As stablecoins evolve into core financial infrastructure, North America leads. This report maps the regulation, market shifts, and players driving adoption. Why it matters : Stablecoins are entering their third phase of evolution - the institutionalization era - becoming increasingly embedded into core financial infrastructure. As institutions prioritize transparency and compliance, regulated issuers like USDC, RLUSD, and PYUSD are steadily gaining share with RLUSD surpassing $1B in market cap within its first year. North America, leading in regulatory frameworks and institutional distribution, is at the center of it all. View Full Report More For You The Protocol: Ethereum faces make-or-break moment as scaling, quantum and AI pressures mount By Margaux Nijkerk | Edited by Stephen Alpher Mar 25, 2026 Plus: Solana developer platform, Balancer Labs to shut down and Bitcoin mining concentration triggers small reorg. What to know : Welcome to The Protocol, CoinDesk's weekly wrap of the most important stories in cryptocurrency tech development. I’m Margaux Nijkerk, a reporter at CoinDesk. In this issue: Ethereum faces make-or-break moment in high-stakes balancing act as scaling, quantum and AI pressures mount Solana Foundation taps Mastercard, Western Union, Worldpay for institutional... Read full story Latest Crypto News Bitcoin miners are becoming AI companies and selling their BTC to fund the transition 3 hours ago Morgan Stanley enters bitcoin ETF race with market-leading low fee 9 hours ago Why Mastercard paid double for stablecoin infrastructure it could have built 13 hours ago Crypto stocks battered as Nasdaq enters correction in $17 trillion market rout 13 hours ago Anthropic’s massive 'Claude Mythos' leak sends software names — and crypto — sharply lower 15 hours ago CoinDesk 20 performance update: AAVE drops 3.2% as nearly all constituents decline 16 hours ago Top Stories NYSE owner doubles down on Polymarket with fresh $600 million investment 17 hours ago Bitcoin drops to two-week low as $300 million in longs are liquidated 18 hours ago Tether hires KPMG for USDT audit, brings in PwC as it gears up for U.S. expansion Mar 27, 2026 Retail investors drive widespread bitcoin selling as prices fall 17 hours ago Ondo, Canton sidestep macro concerns with institutional deals as bitcoin, ether slide 17 hours ago Investors yank $171 million from bitcoin ETFs in largest single-day outflow in three weeks 21 hours ago