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- 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.
- The initiative comes as the XRPL handles an increasingly complex workload.
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Nguon tham khao: https://www.coindesk.com/tech/2026/03/27/ripple-turns-to-ai-to-stress-test-the-xrp-ledger-as-institutional-use-cases-scale