At the recently concluded conference in Asia, Ripple highlighted how the XRP Ledger is preparing for a new wave of adoption by institutions and developers, with confidential transfers, transaction batching, and dedicated AI agent infrastructure among the key upgrades.
The company aims to expand the network beyond simple payments and toward more comprehensive institutional and automated use cases.
Privacy and scalability
Among the most important new developments are confidential transfers powered by zero-knowledge evidence. According to According to a presentation published on X by an account dedicated to covering conference news, full on-chain transparency has historically created difficulties for traditional financial institutions who cannot publicly expose all the details of complex transactions.
The planned confidential transfer functionality allows institutions to maintain the confidentiality of sensitive transaction flows while proving their validity to the network and relevant regulators.
The company behind XRP is also working to make its network more suitable for complex financial operations through formal verification, adversarial testing, and transaction pooling. This would allow multiple transactions or operations to be grouped and executed on an all-or-nothing basis, which could improve the efficiency of developers and institutions building more sophisticated applications on top of the XRP Ledger.
XRPL for AI agents
While the aforementioned announcement may not come as a surprise to many following the latest developments from Ripple and XRPL, the involvement of artificial intelligence might surprise others. Ayo Akinyele, Ripple’s senior director of engineering, said AI agents have already generated substantial activity on XRPL, with associated network volume exceeding 11 million transactions.
Ripple is also developing infrastructure specifically for autonomous agents to further drive growth. This includes verifiable identities, permissions and spending controls, as well as secure smart wallets capable of holding both XRP and stablecoins.
The goal is to enable AI agents to transact autonomously while still operating within predefined guarantees. The XRP Ledger’s settlement speed, described during the keynote as around three to five seconds, could make it particularly suitable for machine-to-machine payments and other automated financial activities.
These developments adapted to XRPL follow a working paper from the Bank for International Settlements. who explored using it makes it possible to verify official statistics on-chain and strengthen data integrity without alerting existing systems.
The article Major Ripple (XRP) Revealed from Seoul: XRPL Gets Privacy, AI Agent Upgrades and More appeared first on CryptoPotato.
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