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. 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.