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XRP Ledger Boosts Security with AI-Driven Vulnerability Testing

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Ripple and the XRP Ledger (XRPL) are adopting a proactive AI-driven security model to identify vulnerabilities before deployment.

The new approach combines AI-assisted testing with stronger amendment requirements and a dedicated red team that thinks like an attacker rather than just validating expected behavior.

AI systems can review large codebases, generate unusual inputs, and search for edge cases involving permissions, transaction ordering, and state changes.

This expansion into more complex areas such as lending, tokenized assets, vaults, and institutional finance creates additional interactions and edge cases that need to be tested before activation.

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