Ripple Is Giving The XRP Ledger An AI Brain — Here’s How
Ripple’s University Blockchain Research Initiative (UBRI) showcased how academic research is being fused directly into the XRP Ledger (XRPL), positioning the network as a native home for agentic AI.
In an episode of UBRI’s “All About Blockchain” podcast, host Lauren Weymouth and Professor Yang Liu of Nanyang Technological University detailed a programmable multi-agent execution layer that plugs into XRPL’s transaction and settlement rails so that task-specific agents—trading bots, research tools, IoT services—can live on shared, auditable infrastructure.
Ripple And NTU Build AI Layer For The XRP Ledger
RippleX teased the episode via X: “AI and blockchain are the future of secure, time-saving applications. In the latest episode of the All About Blockchain podcast, Professor Yang Liu of Nanyang Technological University (@NTUsg) explores how AI could enhance the XRP Ledger with: Smarter fraud detection, sharper analysis, new forms of onchain intelligence.”
AI and blockchain are the future of secure, time-saving applications.
In the latest episode of the All About Blockchain podcast, Professor Yang Liu of Nanyang Technological University (@NTUsg) explores how AI could enhance the XRP Ledger with:
➡️ Smarter fraud detection
➡️…— RippleX (@RippleXDev) October 7, 2025
Weymouth framed the work explicitly around XRPL, noting that UBRI researchers used Apex to “deep dive into protocol level improvements, security enhancements and use cases driving strategic developments on the XRP Ledger.” She said Ripple’s own UBRI research search tool on xrpledgercommons.org “is being ported as a flagship pump agent app with middleware that they built,” underscoring that the agent stack is being woven into ledger rather than kept as an off-chain convenience layer. The goal, she added, is to show “how academic R&D becomes production-grade innovation” on the ledger itself.
Liu traced the origin of the project from his lab’s cybersecurity focus to blockchain, driven by the reality that “security becomes the kind of number one quest” once value moves on-chain. Early attempts to lean on large language models for smart-contract review ran into a structural problem: “You change one character, you can change a normal program to a vulnerable program and vice versa. But the language model is a probabilistic model. They cannot tell the tiny difference.” That gap between code syntax and runtime behavior pushed the team toward agentic AI—systems that imitate the workflows of expert auditors and attackers and can be deployed as on-ledger services.
“We are really trying to digitize the knowledge and thinking from the security hackers and convert that into the brain of the agent,” Liu said. In single-contract benchmarks, the agents “generated really zero-day…
Read More: Ripple Is Giving The XRP Ledger An AI Brain — Here’s How