: Developers are adopting AI-assisted testing and threat analysis to identify ledger vulnerabilities before they reach production.
: 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 : Developers are adopting AI-assisted testing and threat
: ML models predict global customer demand on a daily and long-term basis to determine exactly how much liquidity is needed, where, and when. : Developers are adopting AI-assisted testing and threat
: Some ML models are already in pre-production, making critical business decisions that drive faster transactions and 24/7 global availability. AI and Security for Developers : Developers are adopting AI-assisted testing and threat