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Ripple detailed an AI-led security strategy for the XRP Ledger on May 26 while also entering Singapore’s MAS BLOOM sandbox to test RLUSD in trade finance. The company said XRPL now uses adversarial code scanning, AI-assisted pull request reviews, and threat modeling. Ripple also said the sandbox will test automated cross-border settlements on the ledger. Together, the moves place network security and regulated settlement use cases at the center of Ripple’s latest push.
Ripple said the new framework targets vulnerabilities before they reach production. Ayo Akinyele, Ripple’s Senior Director of Engineering, said XRPL is moving to a more proactive, AI-driven model for risk detection. He said the effort aims to harden the network as it supports global payments, tokenized assets, and institutional use cases.
In turn, Ripple is adding AI across the XRPL development lifecycle. Akinyele said the process includes regular adversarial code scanning, AI-assisted reviews on every pull request, and threat modeling for new and existing feature interactions. The company said this wider coverage helps detect issues across more complex system behavior.
The program has identified more than 10 issues so far. Ripple classified all of them as low severity and said remediation is underway. At the same time, engineers are addressing older codebase constraints, including inconsistent feature interactions and weak enforcement of core system assumptions. A forthcoming release will focus on fixes and performance gains without adding new features.
At the same time, Ripple joined BLOOM, a Monetary Authority of Singapore initiative for testing stablecoins and tokenized assets in real cross-border payments. The program includes JP Morgan, DBS, Circle, Stripe, and Coinbase. Ripple is using the sandbox to pilot automated trade finance settlements with RLUSD on the XRP Ledger.
Ripple’s pilot partner is Unloq, a Singapore-based supply chain finance firm behind the SC+ platform. According to the report, SC+ combines trade obligations, settlement terms, and financing workflows in one system on XRPL. When a preset condition is met, such as a customs API confirming cargo arrival, the smart contract triggers an RLUSD payment to the exporter.
This process removes the manual steps tied to letters of credit and correspondent banks. The text said the traditional route usually takes five to ten days, while the SC+ model cuts this timeline to minutes. It also targets smaller businesses that often cannot access trade finance because fees remain too high.
BLOOM launched in October 2025 and built on Project Orchid, a digital Singapore dollar initiative that has run more than 10 pilots since 2021. The text said the program has 16 members. Entry into BLOOM means MAS reviewed Ripple’s infrastructure and found it credible enough for supervised testing with real trade flows.
Also Read: Ripple Adds AI Security Tools as DTCC Tokenization Push Draws Focus
This regulatory setting matters because Singapore maintains one of the strictest digital asset environments. The text described Ripple’s admission as a boost to its institutional credibility. It is also seen as one of the clearest signs that regulators are taking RLUSD seriously as a settlement asset.
Will the MAS pilot turn RLUSD into a wider settlement tool, and will any of that value reach XRP?
This question remains central for XRP holders watching the token at $1.40 in the text. For now, Ripple is pushing two tracks at once: stronger XRPL defenses and a regulated test of RLUSD in live trade finance workflows.
Ripple is strengthening XRPL security with AI-led testing and faster vulnerability detection while testing RLUSD in Singapore’s MAS BLOOM sandbox for trade finance settlements. The update shows Ripple is advancing both network resilience and regulated institutional use, with close attention now on whether RLUSD adoption can deepen its role in cross-border payments.
