AI Red Team set to probe XRPL

Ripple is stepping up its security playbook for the XRP Ledger. The firm will be turning towards artificial intelligence and adversarial testing. The move comes as XRPL activity, tooling, and developer participation continue to expand. However, it has also brought in a new layer of complexity. The team says it can’t be handled with traditional methods alone.

An XRPL validator sees this as “next-level security for the next level of adoption.” Vet pointed to the creation of a dedicated AI-driven red team that will be testing edge cases. XRPL Commons and the XRPL Foundation will be part of it. Recently, XRPL has been dealing with a fee hike as AI bots took over the ledger.

AI Red Team to probe XRPL

Ayo Akinyele, Head of Engineering at RippleX, stated that the goal is to move beyond reactive fixes. It will try to pressure-test the system. AI will look into automated code reviews and adversarial simulations designed to surface vulnerabilities. These flaws are usually difficult to detect manually.

A report suggests that the red team itself is built to behave like an attacker. It will probe how different parts of the codebase interact in real-world conditions. 

The XRP Ledger has been operating since 2012. It has processed over 3 billion transactions and more than 100 million ledgers. However, its native token has posted heavy losses despite winning legal clarity.

XRP price dropped by another 26% over the last 90 days. It is trading at an average price of $1.36 at the press time. XRP is down by more than 64% from its ATH of $3.84 recorded on Jan 4, 2018. Still, the token is holding a market cap of $83.6 billion.

We’re taking a more proactive, AI-driven approach to strengthening XRPL security.

That includes AI-assisted testing across the development lifecycle, a dedicated red team, and higher standards for how changes are evaluated before they go live.

As XRPL scales to support global…

— J. Ayo Akinyele (@ja_akinyele) March 26, 2026

The fresg initiative will focus on updating the core codebase by addressing structural issues. Such as inconsistent interaction patterns, limited type safety, and implicit assumptions. The idea is to make the system more predictable and resilient by design, rather than relying solely on patching individual bugs.

Ripple is widening the circle of responsibility. Security efforts are being distributed across validator operators, independent researchers, and external firms. However, there are internal teams too in the game. They aim to reduce blind spots by bringing in multiple perspectives.

XRP leverage drops on Binance

CryptoQuant data shows that XRP’s estimated leverage ratio on Binance is on a decline. It dipped from around 0.59 in mid-2025 to roughly 0.13 now. Open interest (OI) on the exchange has also cooled to about $375 million. It is much down from its previous highs.

Vet highlighted that Banks might have won sides around the Crypto Clarity Act. The bill reportedly prohibits yield on holding stablecoins. He believes that this could have an impact on actors in XRPfi that don’t do actual DeFi. It would ban all custodial stablecoin issuers. This includes CEXs, centralized platforms, vault curators, and more from passing on yield. The validator sees this as good for DeFi. 

Earlier, he reported that AI coding is all over XRP right now, and this can be seen on the chain. There are so many dashboards, apps, tools, and even XRPL Rust clients running validators. 

Data shows that the AI tokens’ market has spiked by more than 27% in the last 30 days. It hovers around $18 billion with a 24-hour trading volume of $3.3 billion. Bittensor (TAO) is still the biggest token in the category with a market cap of over $3.6 billion. TAO is trading at an average price of $336.5 at the press time.

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