Ripple Calls XRPL Permissioned Domains A ‘Gamechanger’ As Go-Live Nears

bitcoinist2026-01-14 tarihinde yayınlandı2026-01-14 tarihinde güncellendi

Özet

RippleX announces that the XRP Ledger's "Permissioned Domains" amendment is nearing activation, requiring an 80% validator consensus. Currently at 76.47%, this feature introduces institutional-grade access controls on the public blockchain, enabling regulated entities to use permissioned trading and lending protocols without private infrastructure. It paves the way for a Permissioned DEX, limiting market interactions to approved participants, and supports future applications like on-chain foreign exchange and lending. The community highlights the need for more stablecoins and real-world assets to boost liquidity. XRP price is noted at $2.15.

Ripple’s developer arm RippleX says the XRP Ledger’s “Permissioned Domains” amendment is nearing its activation threshold, positioning the network to roll out institution-friendly access controls that could underpin a permissioned version of XRPL’s native decentralized exchange.

In a series of posts on X late Tuesday, RippleX framed Permissioned Domains as a “gamechanger” enabling layer for “permissioned flows” on a public blockchain, an approach aimed squarely at regulated firms that want on-chain settlement and trading without adopting fully private infrastructure.

Ripple’s Next ‘Gamechanger’ For The XPR Ledger

Via X, RippleX said: “The amendment for Permissioned Domains is nearing the threshold for activation.Ripple supports this feature, as well as the Permissioned DEX which this will ultimately enable. “

Under XRPL’s governance process, amendments become active after maintaining a 80% validator supermajority for a sustained period. According to xrpl.org, the PermissionedDEX is currently open for voting and has reached 50.00% thus far, while the PermissionedDomains amendment stands at 76.47%.

RippleX describes the feature as a “game-changer for XRPL because they bring institutional-grade controls to a public network, without sacrificing the trade-offs of a private chain.”

The company further writes: “While the Permissioned Domains amendment is an enabling feature, it sets the stage for financial institutions to engage in permissioned flows on a fast, scalable, and resilient blockchain network, the XRPL. The Permissioned DEX will enable permissioned trading flows, and the upcoming lending protocol may apply Permissioned Domains for controlled lending and borrowing flows.”

On XRPL’s documentation, permissioned domains are described as controlled environments that “do nothing on their own,” but can be used by higher-level features, such as permissioned DEX functionality and lending protocols,to restrict and manage access for compliance-driven deployments. Permissioned DEXes are the practical endpoint: regulated entities participating in XRPL’s native order books while enforcing who can interact with specific markets.

“Traditionally, any XRPL DEX offer can be matched by anyone. A permissioned DEX changes that,” Ripple wrote, describing permissioned trading as rules-based matching limited to approved participants.

RippleX also points to adjacent roadmap items, including an upcoming lending protocol that could apply the same domain-based controls to borrowing and lending flows, suggesting the design pattern is intended to extend beyond trading into broader onchain finance primitives.

The announcement drew immediate interest from XRP community voices. Popular community member Krippenreiter highlighted “on-chain FX” as a headline application, while Anodos Finance CEO Panos Mekras responded that “the only thing left is to bring the actual assets and liquidity to flow.” Krippenreiter agreed, calling for “more stablecoins, RWAs, and more market making.”

At press time, XRP traded at $2.15.

XRP needs to reclaim the 0.382 Fib, 1-week chart | Source: XRPUSDT on TradingView.com

İlgili Sorular

QWhat is the 'Permissioned Domains' amendment on the XRP Ledger and why is it significant?

AThe 'Permissioned Domains' amendment is an enabling feature that introduces institution-grade access controls to the public XRP Ledger network. It is significant because it allows for 'permissioned flows' on a public blockchain, enabling regulated firms to use on-chain settlement and trading without having to adopt fully private infrastructure, thus combining the benefits of a public network with the controls of a private chain.

QWhat is the governance process for activating an amendment on the XRPL, and what is the current status of the PermissionedDomains vote?

AUnder XRPL's governance process, an amendment becomes active after it maintains an 80% validator supermajority for a sustained period. At the time of the article, the PermissionedDomains amendment had reached 76.47% of the vote.

QHow does a Permissioned DEX differ from the traditional XRPL DEX?

ATraditionally, any offer on the XRPL DEX can be matched by any participant. A Permissioned DEX changes this by enabling rules-based matching that is limited to only approved, vetted participants, which is crucial for compliance-driven deployments by regulated entities.

QBeyond trading, what other potential use cases for Permissioned Domains does RippleX mention?

ARippleX mentions that the upcoming lending protocol could apply the same Permissioned Domains feature to control borrowing and lending flows, suggesting the design pattern is intended to extend into broader on-chain finance primitives beyond just trading.

QWhat was the price of XRP at the time the article was published?

AAt press time, the price of XRP was $2.15.

İlgili Okumalar

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手14 dk önce

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手14 dk önce

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News2 saat önce

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News2 saat önce

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit4 saat önce

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit4 saat önce

İşlemler

Spot
Futures
活动图片