Ripple has announced the implementation of artificial intelligence to enhance the security of the XRP Ledger (XRPL) as part of preparations for the next stage of network scaling.
The company stated that it is transitioning from a reactive protection model to a proactive approach, where vulnerabilities are identified before they enter production.
The new strategy involves the use of AI at all stages of development — from testing to threat analysis and code change verification.
Security is viewed not as a one-time audit, but as an ongoing process that must scale with the growth of the network.
The updated security model includes:
testing and code analysis using AI;
creation of a specialized 'red team' group to simulate attacks;
tightening requirements for updates and protocol changes;
deepening threat modeling and exploitation scenario analysis.
Ripple has linked the update in approach to the expanded use of XRPL. The network is used for global payments, asset tokenization, and institutional solutions, which raises reliability requirements.$XRP
