Ripple’s is built on a private ledger that utilizes the core energy-efficient technology of the public XRPL.
Ripple is actively integrating and Artificial Intelligence (AI) across its ecosystem to optimize liquidity and secure the XRP Ledger (XRPL) for institutional use cases like Central Bank Digital Currencies (CBDCs) . Machine Learning on RippleNet Ripple’s is built on a private ledger that
: Developers are adopting AI-assisted testing and threat analysis to identify ledger vulnerabilities before they reach production. : ML models predict global customer demand on
: ML models predict global customer demand on a daily and long-term basis to determine exactly how much liquidity is needed, where, and when. CBDCs and the Private Ledger
: Research is underway with academic partners like Nanyang Technological University to build a multi-agent execution layer on the XRPL. This would allow developers to deploy task-specific agents, such as trading bots and IoT services, directly on the ledger. CBDCs and the Private Ledger