Blockchain company Ripple has announced plans to overhaul its security strategy for the XRP Ledger, which includes input from… artificial intelligence.
“In this step, the company is providing AI-based tools to proactively identify and fix vulnerabilities as the network expands,” Ripple said in a statement. statement On March 26th.
According to Ripple, as in XRP The ledger is expanding in complexity and enterprise usage, and maintaining flexibility is becoming an ongoing priority rather than a one-time effort.
Notably, since its launch in 2012, the XRP Ledger has processed more than 100 million ledgers and more than 3 billion transactions, supporting global payments and tokenized assets.
It should be noted that between December 2025 and February 2026, the XRPL developer community launched multiple major upgrades, including permissioned scopes, with the aim of accelerating enterprise adoption. The latest security push builds on this momentum as the network evolves to meet higher operational requirements.
The statement noted that the core of the new approach is to integrate artificial intelligence across the development life cycle. Advanced tools are deployed to scan code, simulate edge cases, and discover hidden points of failure that traditional testing methods may ignore.
“For XRPL, this is a huge opportunity. AI allows us to shift from reactive debugging to proactive and systematic detection of vulnerabilities, enhancing the ledger faster and with more confidence than ever before,” Ripple said.
This move will allow developers to identify risks earlier and resolve them faster, reducing the likelihood of vulnerabilities reaching production.
Red Team powered by Ripple AI
the Cryptocurrency The company added that it is deploying an AI-powered red team to continuously stress test the system by simulating real-world attacks through adversarial and obfuscation testing, which already detects and addresses several low-risk issues.
Meanwhile, the company noted that it is updating the XRPL code base to fix structural vulnerabilities, including inconsistent design patterns and outdated assumptions, to improve overall predictability and security.
At the same time, the new security reform will expand efforts beyond internal teams through increased collaboration with ecosystem partners, including the XRPL Foundation, independent researchers and third-party security firms, to expand oversight and reduce blind spots.
In parallel, more stringent network upgrade standards are also being introduced. The proposed amendments will now undergo more rigorous testing, including multiple independent audits and expanded bug bounty programmes, before being approved.
