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Lumino, lightening up the world of secure multi-party computation

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New digital era, new demand of security

With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection

Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.

Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.

The “chemical reaction” of blockchain and secure multi-party computation

To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.

It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.

When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.

The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.

New practice in privacy protection——PlatON & Lumino

Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.

Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.

This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.

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Inside NEXTMonitor: How NEXTRouter Turns Sensing into Action

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Shortly after NEXTBank launched NEXTMonitor, its global situational awareness system, we sat down with the product team to better understand what makes the system tick. This is a curated summary of that conversation – focusing on three core themes: why NEXTMonitor is more than an aggregator, how NEXTRouter powers its intelligence, and what the combined system means for enterprise users.

“Aggregation is table stakes. Correlation is the real value.”

The team started with a blunt observation. There is no shortage of news dashboards and financial screens. A treasury manager can already see headlines, prices, and charts. But seeing is not understanding. The missing piece is the connection between events.

“A port strike is not just a news item,” one product lead explained. “It affects shipping routes, commodity prices, and local currency stability. A human would need to open six different tabs and spend twenty minutes connecting the dots. NEXTMonitor does it in under a second.”

That ability – cross‑dimensional event correlation – relies on NEXTRouter’s graph neural network models. When a user looks at a breaking alert, the system automatically pulls in live camera feeds from the relevant location, real‑time exchange rate data, and historical risk patterns. It then visualises everything on a single map. The user does not search; the system presents.

The “Model Router” That Never Sleeps

The team repeatedly emphasised one point: NEXTMonitor itself is not an AI model. It is an application that calls models – and the calling is handled entirely by NEXTRouter.

NEXTRouter aggregates over 300 models, from general‑purpose large language models to specialised tools for time‑series forecasting, image recognition, and graph analysis. When NEXTMonitor needs to assess port congestion from a live camera, NEXTRouter picks the best image model for that task. When it needs to project 48‑hour exchange rate volatility, it picks a forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a follow‑up question, NEXTRouter selects the most suitable dialogue model on the fly.

This architecture gives NEXTMonitor a powerful feature: automatic upgrades. As new, better models are released, NEXTRouter can swap them in seamlessly. The user sees no change except that the system becomes smarter. “We don’t tell our customers to update their software,” the team noted. “We just make NEXTMonitor better overnight.”

From Sensing to Action in Seconds

The most compelling part of the briefing was the walkthrough of a real‑world scenario. Imagine you are a logistics manager monitoring Southeast Asia. NEXTMonitor detects a sudden labour action at a major port. Instantly, the system shows the live camera feed (congestion visible), the local currency’s real‑time decline, and a risk projection: 72% chance of further disruption in the next 24 hours.

You then ask BonBon: “Should I reroute my shipments?” BonBon, powered by NEXTRouter, analyses your current shipping routes and suggests specific alternatives. If you agree, you can execute the change – and the related cross‑border payments – directly on NEXTBank’s payment network. The entire loop, from sensing to advice to action, takes seconds, not hours.

That seamless integration is not accidental. NEXTMonitor, BonBon, and NEXTBank’s payment rails are built on the same NEXTRouter backbone. The system also connects to NEXTShot, an AIGC platform that can automatically generate a briefing video or a one‑page report for your team. Whether you need to act, consult, or communicate, the tools are already there.

What Enterprises Should Know

The team highlighted three practical takeaways for potential enterprise users. First, NEXTMonitor is not a replacement for Bloomberg or Reuters – it is a layer above them, adding correlation and prediction. Second, the system is designed for non‑technical users. Natural language queries to BonBon mean you do not need to learn a new query language. Third, because NEXTRouter handles model selection, you never have to worry about which AI model is “best” for a given task – the system decides in real time.

Pricing and availability: NEXTMonitor is now available to NEXTBank enterprise and premium users. Additional features, including deeper predictive analytics and more camera integrations, are scheduled for the coming months.

The Bigger Picture

According to the team, NEXTMonitor and NEXTRouter are not standalone products – they are the first visible expressions of a much larger strategy. NEXTBank has publicly outlined three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter serves as the computing gateway for all three. NEXTMonitor provides the real‑world sensing layer.

“In five years, we don’t want to be known as a payment company,” the team concluded. “We want to be known as the operating system for intelligent finance. NEXTMonitor is the screen you look at. NEXTRouter is the engine you never see. Together, they make money smart.”

For now, that vision is taking shape – one correlated event, one predicted risk, and one intelligent payment at a time.

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Press Release

Beyond Payments: How NEXTBank’s Dual‑Core “Sensing + Computing” Strategy Is Redefining Global Finance

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For years, the crypto payment industry has competed on speed and cost. NEXTBank delivered on those fronts. But with the launch of NEXTMonitor, a real‑time global situational awareness system, the company is making a bolder statement: the future of finance is not just moving money, but moving money with intelligence.

At the heart of this shift are two symbiotic products: NEXTMonitor, the “sensory organ” that captures global events, and NEXTRouter, the “computing brain” that makes sense of them. Together, they form a dual‑core engine of sensing and computing – an architecture that could transform a payment network into a full‑stack financial operating system.

From Information Overload to Actionable Insight

The problem NEXTMonitor solves is simple. Decision‑makers have access to more information than ever, yet critical signals are buried under noise. A port strike in Asia, a currency swing in Latin America, a regulatory leak in Europe – by the time a manager connects the dots, the opportunity or loss has already passed.

NEXTMonitor tackles this by integrating 93 news sources, live market data, and 27 real‑world camera feeds onto a single dynamic map. But the real differentiator is not aggregation – it is correlation. Powered by NEXTRouter’s ability to call over 300 AI models (from OpenAI, Google, Anthropic, and others), NEXTMonitor automatically links a news event with a live camera view of a congested port, a real‑time exchange rate chart, and historical risk patterns. A user no longer has to ask “what does this mean?” – the system shows them.

The Unseen Engine: NEXTRouter as a Computing Hub

If NEXTMonitor is the face of NEXTBank’s new direction, NEXTRouter is its invisible foundation. NEXTRouter is an AI model gateway and orchestration layer that aggregates hundreds of large and specialised models. When NEXTMonitor needs to extract event locations, the router calls a natural‑language model. When it needs to predict 48‑hour exchange rate volatility, it calls a time‑series forecasting model. When a user asks BonBon (NEXTBank’s AI agent) a natural language question, NEXTRouter selects the best dialogue model on the fly.

This architecture gives NEXTBank a critical advantage: continuous evolution. As better models emerge, NEXTRouter can swap them in seamlessly. NEXTMonitor becomes smarter without a single line of code change. In an industry where AI capabilities double every few months, that is a strategic moat.

Completing the Loop: Sensing, Agent, and Action

What truly elevates the system is integration with NEXTBank’s broader ecosystem. A risk alert generated by NEXTMonitor can be sent instantly to BonBon, which provides mitigation advice – for example, “suggest delaying shipments to this port” or “consider locking in exchange rates.” If the user needs to share that analysis with a team or client, NEXTShot (NEXTBank’s AIGC platform) can automatically produce a briefing video or a one‑page report. The entire journey – from sensing to advice to output – runs on the same NEXTRouter backbone.

This closes a loop that traditional payment networks have never attempted. Users no longer toggle between Bloomberg, a risk dashboard, a chat tool, and a payment interface. They perceive, decide, and act on one platform. And when they act – for instance, making a cross‑border payment to avoid looming capital controls – that transaction rides on NEXTBank’s original payment rail. Sensing and payment, finally unified.

Why It Matters

For the crypto industry, NEXTBank’s move signals a maturation. The first wave of blockchain payments solved trust and settlement speed. The second wave is adding context – the ability to understand why a payment should be made, when, and in what currency. NEXTBank is building an “intent‑based” financial layer: the user expresses an intent (“I want to move funds safely given current risks”), and the system figures out the optimal execution path.

For enterprise treasuries and logistics firms, the value is clear. In a world of fragmented supply chains and volatile currencies, a real‑time intelligence layer directly connected to execution is not a luxury – it is a necessity. NEXTMonitor and NEXTRouter offer exactly that.

Looking Forward

NEXTBank has stated three strategic pillars: AI Agent economy, computing finance, and intelligent payment. NEXTRouter will serve as the computing gateway for billions of autonomous agents. It will also underpin the tokenisation and trading of computing power – a novel asset class. And with NEXTMonitor providing situational awareness, the vision of “intent‑as‑payment” comes closer to reality.

NEXTBank is no longer just a payment network. It is becoming the operating system for intelligent finance – where every dollar moved knows where it is going, why, and how to get there safely. That is a story worth watching.

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SoftestLayer Announces Comfort-Focused Bra Collection Designed for Wireless Support and Everyday Wear

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The women’s bra brand highlights wireless construction, flexible fabrics, back-smoothing coverage, and everyday comfort across selected styles.

WEST PEORIA, IL , June 2, 2026 — SoftestLayer, a women’s bra brand focused on everyday comfort and supportive design, today announced the availability of its bra collection for adult women seeking a softer alternative to traditional bras. The collection brings together wireless support, gentle shaping, back-smoothing coverage, support-focused construction, and stretchy fabrics designed for daily wear.

“SoftestLayer was created for women who want everyday bras that feel softer, smoother, and easier to wear. The collection focuses on wireless construction, flexible fabrics, and practical support details for daily routines,” said a SoftestLayer spokesperson. 

Many women want more from an everyday bra than basic coverage. Traditional bras may provide shaping or lift, but they can also feel stiff, restrictive, or uncomfortable after hours of wear. Underwires may dig into the body, narrow straps can create shoulder pressure, and limited back coverage may leave visible lines under clothing. SoftestLayer was created to address these common concerns with bras designed to feel soft against the skin while offering wireless support, smoother coverage, and a flexible everyday fit.

SoftestLayer’s product range includes wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles, giving customers multiple options based on their personal comfort needs, body shape, and wardrobe preferences. Across selected designs, the brand focuses on flexible construction, breathable materials, smooth finishes, and supportive details that help women feel more comfortable throughout the day.

One of the brand’s key design focuses is wire-free shaping. Selected SoftestLayer styles are made to help shape the bust without relying on traditional underwire pressure. The SoftestLayer Wireless Shaping Bra, for example, includes adjustable straps and a flexible fit intended to provide gentle lift while remaining lightweight for everyday wear.

Back and side smoothing are also central to the SoftestLayer collection. Rather than using stiff compression, selected designs use wider coverage areas, flexible bands, and smooth back structures to help create a cleaner silhouette under clothes. These design details are intended to reduce the appearance of visible lines around the back and sides and provide a smoother look under everyday clothing.

For women looking for additional structure, SoftestLayer also offers posture-supportive designs. The SoftestLayer Unlined Back Support Bra features a wire-free structure, front closure, wide straps, and back-support construction intended to encourage a more supported feel during everyday wear. The design is made to help distribute pressure more comfortably while offering smoother coverage across the back and underarm area.

Comfort remains the foundation of the brand’s positioning. SoftestLayer’s designs emphasize soft, stretchy, and breathable materials that move with the body rather than feeling rigid or restrictive. Selected styles use nylon-spandex blends described by the brand as breathable, soft, and lightweight for daily wear. This focus on stretch and softness is intended to make the bras suitable for long workdays, casual outings, travel, and relaxed home wear.

In addition to wireless shaping and posture support, SoftestLayer offers designs for different fit preferences. The Smooth Light Minimizer Bra is designed for women seeking a more balanced bust appearance and a smoother look under clothing. The Cotton Front-Closure Bra is created for women who prefer easier wear, front-fastening convenience, and everyday support. Together, these options provide customers with multiple style choices based on lift, smoothing, coverage, closure type, and comfort preferences.

SoftestLayer bras are available through the brand’s official website, where customers can explore different bra styles based on their preferred support needs, including wireless shaping, posture support, minimizer coverage, front-closure convenience, and back-smoothing designs. Product pages provide detailed information such as available color and size selections, sizing charts, product features, fabric and fit descriptions, and checkout options. 

According to the website, shipping costs are calculated based on the destination and number of items purchased, while selected product pages note an estimated 9–14 business day shipping window after order processing. Customers can also contact SoftestLayer through the support email and phone number listed on the website, with the contact page stating a response time of 24–48 hours Monday through Friday.

With its focus on wireless construction, flexible fabrics, back-smoothing coverage, and everyday wearability, SoftestLayer aims to offer bra options for women seeking comfort-focused support.

About SoftestLayer

SoftestLayer is a women’s bra brand focused on soft, supportive, and wearable bras for everyday life. The brand offers a variety of designs, including wireless shaping bras, posture-support bras, minimizer bras, and front-closure styles. SoftestLayer emphasizes comfort-focused construction, flexible fabrics, wireless support, back-smoothing coverage, and wearable designs for everyday use.

For more information, visit: https://softestlayer.com/

 

Media Contact

Organization: SoftestLayer Clothing Co.

Contact Person: Emily Carter

Website: https://softestlayer.com/

Email:
support@softestlayer.com

Address:Heading Ave, West Peoria, IL 61604, United States

City: Illinois

State: IL

Country:United States

Release id:45633

The post SoftestLayer Announces Comfort-Focused Bra Collection Designed for Wireless Support and Everyday Wear appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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