Author: Benfen x Co-written by TX-SHIELD

blockchainTransparency is the cornerstone of its trust mechanism,But thisPublic record properties,has now becomeCore obstacles to large-scale application implementation.For the Web3 vision, this is a “double-edged sword”:It brings verifiable trust at the expense of business confidentiality, privacy of personal wealth, and compliance flexibility.

For enterprises, each on-chain settlement may expose core supplier relationships, procurement costs, and compensation strategies to competitors; for individual users, each on-chain payment permanently records and discloses their consumption habits, asset status, and social relationships; for regulatory agencies, a new balance needs to be found between “protecting public privacy” and “fulfilling financial compliance responsibilities.”

Transparency should not come at the expense of core privacy.This branch of the public chain (Powered by TX-SHIELD) officially launches the private payment function.This marks our move from an era of “publicity in exchange for trust” to a new paradigm of “privacy generates trust”.This article will be divided into two parts: the first part will show how private payments can solve the current pain points in the commercial, personal and regulatory fields; the second part will give you a picture of the future and an in-depth discussion of how we can jointly build a complete ecosystem from on-chain Dark Pool, confidential voting to confidential auctions, and even a new social collaboration model based on the cornerstone of privacy.

Solve the current pain—urgent application scenarios and in-depth analysis of private payment

For B-side enterprises: Private payment is a strategic tool for business competition and compliance management

1. Protect the privacy of salary payment: Take Deel as an example to create a “strategic tool” for corporate talent management

In the global talent competition of modern enterprises, especially multinational enterprises, the salary system is a core strategic component.However, when companies try to use transparent blockchain technology to pay wages, they face a serious problem.

Global payroll management platformDeelFor example, as one of the fastest-growing SaaS companies in history, the core of its business is to process employee compensation payments all over the world.Deel actively embraces blockchain technology and allows global employees and contractors to instantly withdraw money in cryptocurrencies such as Bitcoin and USDC through its “Deel Crypto” service, effectively solving the pain points of slow speed and high fees of traditional cross-border wire transfers.However, it is this adoption of blockchain for payment efficiency that exposes it to serious transparency challenges.

For Deel and the tens of thousands of client companies it serves, usingOpen and transparent blockchainFor salary payment, each on-chain payment will include the customer’s salary structure, salary levels in different countries and positions, and even the income information of specific employees.permanent exposureIn public view.This will not only trigger salary conflicts within the client company and external competitive poaching, but will also directly leak the core business secrets of the Deel platform – its global salary database, which poses a fundamental threat to the foundation of its tens of billions of dollars valuation.

This current situation reflected by real business scenarios has given rise to clear and urgent practical needs on the enterprise side: global enterprises like Deel, which have taken the lead in adopting blockchain payment efficiency, and many companies seeking efficient and transparent salary management, urgently need a payment solution.it mustIt can not only use blockchain technology to process global salary payments efficiently, accurately, and cannot be tampered with, but also absolutely protect the commercial confidentiality of salary data like traditional financial systems., to avoid catastrophic data leaks caused by the transparency of payment instruments.

At present, many cutting-edge Web3 companies and DAOs have used privacy technologies such as Zcash or Aztec Network to pay salaries, successfully verifying the feasibility and necessity of private payment in salary management.These practices show that upgrading salary confidentiality from a “contractual commitment” that relies on systems and trust to a “technical guarantee” based on cryptography has become the inevitable direction of the management evolution of modern enterprises, especially globalized enterprises.

The private payment function of BenFen Chain (www.benfen.org), whose core engine is the MPC solution provided by TX-SHIELD, is a solution tailor-made to meet the needs of such enterprises.We further propose to build a complete “enterprise-level privacy payroll system”. Enterprises can pay salaries to global employees through this sub-chain. The entire process is completed on the chain, which not only ensures the accuracy and auditability of the payment process, but also hides key information such as the payment amount, the identity of the issuer and the recipient.For enterprises, the system will serve as an “invisible strategic asset”, supporting efficient and transparent global salary management while fully protecting the company’s core salary data and business strategies; for the blockchain ecosystem, the system is expected to become a key step in promoting the large-scale implementation of enterprise-level applications – it accurately responds to the core concerns of enterprises such as Deel in the highly sensitive link of salary management, and clears key obstacles for blockchain technology to enter mainstream commercial applications.

2. Supply chain finance and settlement: Taking Apple and Foxconn as examples to solve the dual dilemmas of “data silos” and “excessive transparency”

The root cause of the current dilemma in supply chain finance is that trust cannot be efficiently transferred among participants.An in-depth analysis by McKinsey’s “Global Payments Report” pointed out that there is a financing gap of trillions of dollars in global supply chain finance every year.The essence of this gap is a typical “trust” issue.Take the cooperation between Apple and its core supplier Foxconn as an example. The business data between the two forms a typical “data island”.This makes it difficult for Foxconn to prove its innocence to financial institutions to obtain low-cost financing for its “accounts receivable” that represent real transaction backgrounds. This ultimately leads to the chronic problem of difficult and expensive financing for the entire chain.However, if you simply adopt blockchain in pursuit of data sharing and transparency, you will fall into a more fatal dilemma: the most core business secrets such as Apple’s precise purchase unit price to Foxconn, the settlement period of both parties, and even the production scale of new products will be completely exposed to all participants in the chain, including competitors.Competitors can use this to accurately calculate Apple’s cost structure and product strategy. This new risk introduced by solving old problems has greatly hindered the implementation of blockchain technology in core business scenarios of enterprises.

The complex industrial chain represented by the automobile manufacturing industry, consumer electronics industry and its huge supplier network is seeking an innovative solution that can simultaneously meet the following two seemingly contradictory goals: first, it must realize the automation of business processes and the verifiability of key data, meet trust needs, and break through financing bottlenecks; second, it must ensure that all sensitive business details are absolutely protected during the collaboration process to avoid the leakage of core competitive advantages.

Exploration within the industry has verified the feasibility of this direction.The Baseline Protocol project (jointly promoted by industry giants such as Ernst & Young, Microsoft, AMD, etc.) is a pioneer in this field.Its core is to use advanced cryptography technology to enable enterprise systems to synchronize business process status on the public blockchain while ensuring that all commercially sensitive data is kept confidential.This practice effectively proves that it is possible to achieve “competition in collaboration” through technological means – that is, while improving the overall efficiency and trust of the supply chain, it also builds a solid data moat for each participant.

The private payment function of this sub-chain was born to deal with this complex challenge.Based on TX-SHIELD’s verifiable privacy technology, we can build a trusted settlement layer on the blockchain.At this level, suppliers can demonstrate to financial institutions the validity and compliance of their accounts receivable without disclosing any sensitive information regarding specific amounts, counterparty identities or contract details.This provides financial institutions with the critical element of trust they need to make decisions without revealing any trade secrets.Referring to McKinsey’s predictions on digital supply chains, such solutions are expected to significantly optimize the capital turnover efficiency of the supply chain, shorten the settlement cycle from months to days, and provide a powerful next-generation infrastructure for activating the vitality of the industrial chain and reducing comprehensive financing costs.

3. Cross-border B2B payment and settlement: Take SHEIN global supply chain as an example to balance efficiency, cost and business confidentiality

Traditional cross-border payment systems have been limited by speed and cost issues for decades.Payments made through traditional correspondent banking channels such as SWIFT usually take 2 to 5 days to complete, and are accompanied by high handling fees and opaque intermediate links.Take the global fast fashion giant SHEIN as an example. Its business model is highly dependent on a global supply chain network composed of thousands of suppliers that requires rapid response.Therefore, it is extremely sensitive to the efficiency and cost of cross-border payments.In order to solve the shortcomings of the traditional SWIFT system, the industry will naturally explore more efficient blockchain solutions such as stable coins.However, even if new tools such as stablecoins are introduced to improve efficiency, companies still have to face the overlapping challenges posed by data privacy rules in different jurisdictions (such as the EU GDPR) and complex compliance requirements.Moreover, for SHEIN, every payment on the transparent blockchain may inadvertently reveal to its competitor Temu its precise purchase prices, order allocation strategies and even global capital allocation paths for different suppliers, which poses a direct threat to its core competitive barriers.Enterprises urgently need a payment solution that combines the privacy guarantees of the traditional banking system, the settlement speed of stablecoins, and the compliance flexibility to deal with the global complex regulatory framework.

BenFen Chain privacy payment provides a new solution for this, a “B2B cross-border privacy settlement layer”.This solution uses TX-SHIELD’s privacy-protecting stablecoin technology. Cross-border transactions between enterprises can be completed almost instantly on the chain, while the key transaction amount and counterparty identity information are hidden and only visible to both parties to the transaction and authorized regulatory agencies.The expected effect of this solution is to achieve second-level settlement, reduce average handling fees by more than 50%, and ensure zero leakage of core business secrets such as the company’s procurement strategy and sales channels in the process, thereby building a key information advantage for the company in the fierce global trade competition.

4. Privacy in treasury management: Taking MicroStrategy as an example to reshape the enterprise-level blockchain financial system

In the process of accelerating digitalization of global enterprises,Treasury ManagementIt has transformed from a back-office function to one of the core of corporate strategy.It not only determines the security and liquidity of corporate funds, but also directly affects capital structure, market signals and strategic decisions.However, as more and more companies try to use blockchain and encrypted assets to optimize their treasury structures, new problems have emerged – while efficiency is improving,Information transparency brings the risk of strategic exposure.U.S. listed companiesMicroStrategyFor example, this company is the world’s most well-known “blockchain treasury pioneer.”Since 2020, MicroStrategy has continued to purchase Bitcoin through bond financing and its own funds, and incorporated it into the corporate balance sheet to combat inflation and optimize long-term value reserves.Although its move became a milestone in corporate asset allocation innovation, it also exposed the privacy dilemma of blockchain public ledgers.Every time a company conducts fund transfers, asset rebalancing or a new round of purchases, it will be recorded and analyzed in real time on the chain. Any market observer can speculate on its positions, cost ranges and even future operating intentions from the transaction path.This means that while blockchain brings transparency and trust, it also exposes the company’s capital scheduling, investment rhythm, and even internal financial structure to global analysts.For a listed company, this may not only trigger market fluctuations and speculation, but also affect corporate market value management, bond ratings and even the precise control of capital market signals.

More and more companies are no longer satisfied with the closure and slowness of traditional treasury systems, and have begun to explore blockchain-based real-time financial systems. However, they are also worried that once a public ledger is adopted, will it be equivalent to making all fund flows public?Therefore, enterprises urgently need a method that can not only realize the advantages of blockchain “instant settlement and automated scheduling”, but alsoProtect fund privacy and meet audit compliance like traditional banking systemstreasury plan.

This is exactlyThis sub-chain privacy payment systemof unique value.Through the complex MPC technology provided by TX-SHIELD, this sub-chain allows companies to complete operations such as asset transfer, income reinvestment, or stable currency liquidity scheduling on the chain, while privately encrypting key financial information (including transaction amount, flow direction, asset structure).The system will automatically generate a verifiable cryptographic certificate, and only open verifiable access to authorized audit institutions or regulatory nodes.In this way, enterprises can not only perform treasury operations with the high efficiency of blockchain, but also achieve privacy protection that is “invisible outside the chain” on the premise of being “verifiable on the chain.”

If MicroStrategy runs treasury management under this architecture, its fund scheduling, currency allocation, asset rebalancing and other actions will no longer be exposed to the open market, but it can still ensure that all on-chain operations comply with regulations, can be audited, and are consistent with financial reporting.In other words, this sub-chain enables enterprises to achieve a true “encrypted and verifiable treasury”: public supervision and private execution.

5. DAO treasury management and anonymous funding: taking Uniswap DAO as an example to establish a “strategic barrier” for decentralized organizations

Large-scale DAOs (such as Uniswap DAO) usually manage hundreds of millions or even billions of dollars in assets. Although the complete transparency of their treasury is the cornerstone of community governance, it also brings about realistic status quo and pain points: when Uniswap DAO considers investing in an early DeFi project, fully disclosed negotiation and transfer details will make it easy for other whales or competitors to capture it, causing the DAO’s purchase cost to soar and the investment strategy to be completely ineffective.A strong practical need is to provide a certain degree of operational privacy for teams or specific committees when executing investments, issuing grants, and rewarding contributors to protect their competitive strategies and operational efficiency, while maintaining effective community supervision of the overall health of the treasury and the general direction of fund use.

We envision providing a dedicated “Treasury Privacy Vault” module for DAO on this sub-chain.DAO can make specific confidential investments, anonymous funding of projects, and private rewards to contributors through the private payment function of this branch.Afterwards, DAO can prove to the community the overall rationality and compliance of the use of funds within a specific period of time through a selective disclosure mechanism without having to disclose the details of each sensitive transaction.The technical feasibility of this solution has been verified by privacy-focused blockchain projects such as Aztec Network in their official use cases.In addition, Messari’s “Understanding Decentralized Confidential Computing (DeCC)” report also provides a theoretical framework for this type of exploration of introducing data confidentiality capabilities while maintaining decentralization from an industry perspective.This solution will empower DAO, giving it the ability to protect “business secrets” similar to that of traditional companies, thereby attracting more traditional capital and institutions seeking strategic privacy to enter the Web3 world through the DAO model, and promote the further prosperity and maturity of the decentralized ecosystem.

For C-end users: Private payment is the technical cornerstone of personal financial dignity and freedom of life.

1. Protect daily consumption and digital life: Take cryptocurrency traders as an example to protect “digital personality”

With the improvement of the global cryptocurrency payment infrastructure—from the crypto cards launched by Visa and Mastercard to the integration of USDC payments by mainstream financial technology companies such as PayPal and Revolut—more and more users are beginning to use cryptocurrency to complete daily transactions in the real world.Blockchain payment is moving from “a niche behavior of investors” to a “lifestyle of the general public”.However, an overlooked fact is:The complete transparency of the public chain is making “digital life” a glass house that can be peered into.

Imagine a well-known cryptocurrency trader or Web3 entrepreneur. If all of his consumption behaviors—from buying Starbucks coffee, paying for a Netflix subscription, to buying holiday gifts for his family—are paid for through the same public wallet, this information can be easily tracked, aggregated, and cross-analyzed.Blockchain analysis companies, advertisers, etc. can thus outline his life trajectory, wealth distribution, interest preferences, and even health status and family relationships.This kind of fully transparent data exposure threatens personal privacy, security and even personal freedom.In fact, this is not an isolated case.The 2024 annual reports of Chainalysis and CipherTrace both pointed out that,More than 70% of on-chain identity profiles are established due to users’ behavioral exposure in “daily transactions” rather than in large-scale investment activities.CoinDesk and The Block also bluntly stated in their comments: “Without privacy, cryptocurrency payments will always remain in the experimental stage.”

In order for Web3 payment to truly become mainstream, we must not only solve the problem of “efficiency and cost”, but also allow users to regain the “privacy boundaries of digital personality”.In other words,Privacy is a prerequisite for democratizing payments, not a nice-to-have technology option.

BenFen Chain’s private payment system is designed to address this core pain point.Based on the BenPay (www.benpay.com) ecosystem created by this sub-chain, users can use the application on the BenPay ecosystem – BenPay Card to complete daily small-amount payments such as catering, subscriptions, travel, and online consumption, allowing stable currency payments to be integrated into daily small-amount payments such as catering, subscriptions, travel, and online consumption in a lower threshold and more frequent manner.The system is based on complex MPC technology and automatically hides the amount, time, recipient information of each transaction, and the address correlation between different transactions.At the same time, this sub-chain has also designed a “selective disclosure mechanism” – users can grant restricted transaction visibility to merchants or regulatory agencies when needed, achieving a “verifiable but not traceable” payment experience.

The expected effect of this solution is not only to protect personal privacy, but also to promote blockchain payment towards true social popularization:

• For ordinary consumers, it means restoring cash-like freedom in the digital world – consumption is no longer the entrance to data mining;

• For merchants, it improves user trust and promotes more frequent use of Web3 native payments;

• For regulation, privacy is no longer equivalent to a “black box” but a “bounded transparency.”

In a longer term sense,Privacy payment will become the underlying public facility of digital life.It is not only the technical embodiment of personal data sovereignty, but also the prerequisite for the Web3 economy to truly integrate into social life.

2. Protect the purchase of sensitive goods and services: Take the purchase of prescription drugs as an example to defend personal consumption privacy rights

In the context of global compliance pressure and increasing centralization of payment platforms, consumers are gradually losing the last line of defense for privacy protection when purchasing legal but sensitive goods or services.The traditional payment system makes every transaction traceable and analyzable through centralized account and identity verification mechanisms. For groups who need to regularly purchase prescription drugs or mental health services, this is tantamount to exposing their personal lives to the spotlight.

The rise of blockchain payment, especially stablecoin payment, provides a new possibility for this type of scenario: it hasInstant settlement, cross-border accessibility, no intermediary freezing riskand other advantages, especially suitable for sensitive consumption scenarios in international digital life.However, the characteristics of this transparent ledger also bring about a more difficult problem – when a transaction of purchasing medicine or psychological consultation is recorded on the chain, anyone can trace the purchase behavior to restore personal health, living status and economic status.This “transparency backlash” makes blockchain payments unusable in areas where privacy is most needed.

Mainstream media such as CoinDesk have commented many times: “Without privacy, cryptocurrency payments will be difficult to be adopted in mainstream consumption scenarios.” This judgment has been proven in the market – the use of privacy coins such as Monero in some e-commerce and sensitive service fields illustrates users’ rigid demand for privacy protection.However, such solutions often conflict with compliance requirements and are difficult to enter mainstream payment systems.

BenFen Chain’s private payment function is very helpful for such scenarios.Users can pay merchants through BenPay’s ecological application BenPay Merchant. The entire process is completed on the chain to ensure the execution of the transaction, but the key transaction amount, address information of both parties, and the specific consumption content derived from it are hidden.This allows users to securely obtain the services they need without worrying that the core details of their private lives will be permanently recorded on the public ledger and become a hidden danger in the future.We want to further promote private payments to become “the default payment option in sensitive consumption scenarios.”For users, it is like providing a “talisman of freedom of consumption”, guaranteeing their basic right to consume according to personal wishes without harming others, and safeguarding personal dignity; for the blockchain payment ecosystem, this is a key step to enter the mainstream consumer market and meet the deep needs of users, because it solves a real pain point that also exists in traditional electronic payments but is extremely amplified on the blockchain.

3. Protect freelancers and small and micro merchants: Take Upwork designers as an example to give individuals “trade secret protection”

Today, as the global digital economy and remote collaboration are booming, freelancers and small and micro merchants have rapidly rising demands for efficiency and flexibility in cross-border settlement.More and more people are beginning to adopt blockchain and stablecoin payments as new options for cross-border collection and settlement.Whether they are creative workers on traditional platforms such as Upwork and Fiverr, or Web3 developers who provide services for DAO and NFT projects, they are increasingly accepting stablecoin payments such as USDT and USDC.The reason is very practical: Blockchain payment has cross-border barrier-free, instant settlement, lower handling fees, and can also circumvent the complex processes and geographical restrictions of traditional banks.This makes stablecoins the new universal currency for the global freelance market.

However, as more individual economic activities are moved onto the chain, they are also passively exposed to the “completely transparent” ledger.A top UI designer who takes orders on Upwork may provide services to cash-strapped startups and Fortune 500 clients at the same time. His quotation strategy, revenue fluctuations and even major customer sources can be easily seen by competitors, customers and even third-party data analysis companies once they are all disclosed on the chain.This state of “streaking on the chain” makes her passive in price negotiations, and may even cause trust and disputes, directly weakening her commercial pricing ability and market competitiveness.Self-employed individuals also need to protect their “trade secrets” – especially pricing strategies and customer relationships.In the traditional economy, this information is naturally protected by bank account privacy and business confidentiality systems; but in the on-chain economy, they have almost no barriers.

This “transparency backlash” phenomenon is becoming a hidden worry for the new generation of individual economies.Although centralized payment platforms such as Stripe and Payoneer provide certain privacy protection, users need to completely entrust their data to the platform and cannot independently control their business information.CoinDesk also noted in its 2024 report,“In the Web3 economy, privacy is no longer just a personal issue, but part of business competitiveness.”This off-chain privacy payment is the structural solution provided for this type of user group.By using this sub-chain to collect payments, individual workers and merchants can safely complete payments on the chain while hiding the transaction amount, counterparty identity and transaction correlation, thereby effectively preventing external inferences about their quotation strategies or customer relationships.This mechanism not only retains the advantages of high efficiency, low cost and global accessibility of blockchain payment, but also provides confidentiality similar to the traditional business system, allowing individual economic participants to have a “technical bargaining umbrella” for the first time.Allow independent designers, developers, content creators and cross-border merchants to control the security of their business data like large enterprises, and continue to create value in a fair and respectful market environment.

4. Financial self-defense under geopolitics: Taking Turkish designers as an example to build an “economic lifeline”

At a time when geopolitics and macroeconomic risks are intertwined, blockchain is gradually becoming a “financial self-defense tool” for people in some regions.In countries such as Turkey and Argentina that experience hyperinflation or strict capital controls, freelancers, small business owners and even ordinary savers are often unable to safely preserve their wealth or make cross-border payments through the traditional banking system.As a result, they began to turn to blockchain and stablecoins, and digital assets became an “alternative lifeline” to resist the depreciation of local currencies and circumvent capital blockades.

But a new dilemma emerged: the openness and transparency of the blockchain allowed these users to “run naked” on the chain.Take a Turkish resident as an example. If he wishes to convert part of his income into USD stablecoins to protect against the depreciation of the lira, he finds that all transfers, asset balances and exchange paths are exposed on the chain, meaning that all of his financial footprints may be exposed to public view.This makes it face a double threat: regulatory agencies may determine that its behavior violates capital flow policies based on these public records, thereby initiating a “freeze first, review later” procedure, resulting in the assets being locked; at the same time, the public wealth also makes it an easy target for criminals.This “fragility brought about by transparency” greatly reduces the protective role of blockchain in high-risk countries.

This is giving rise to a strong real demand: in areas with capital constraints and currency volatility, people not only need decentralized value storage tools, but also needPrivacy layer protection mechanism——A financial infrastructure that can “survive” in an environment of distrust.This off-chain privacy payment is a response to this.When users save on the chain and complete peer-to-peer transfers through BenPay C2C, their asset balances and counterparty information will be hidden. This allows them to use stablecoins to resist inflation and avoid risks caused by on-chain transparency.Research data from Chainalysis shows that the retail adoption rate of cryptocurrency has increased significantly in areas with high inflation and political instability, which also confirms the urgency of this trend.We believe that private payment is not only a technological innovation, but also a “financial human rights” infrastructure.It provides individuals in trouble with the last line of defense to protect their wealth and free transactions, and becomes an “economic escape hatch” for them to maintain economic activities and protect their dignity in extreme environments.

5. Maintain the purity of charitable donations: Take anonymous charity as an example to protect the original intention of doing good.

In the current charity field, public figures, entrepreneurs or ordinary well-wishers who make large or sensitive donations often face pressure from public opinion, moral kidnapping or continuous requests for donations once the donation is made public.For example, an entrepreneur hoping to fund cutting-edge technological exploration or fringe artistic creation may not want his or her name to be publicly associated with the donation to avoid unnecessary commercial attention or public misunderstanding.This changes the taste of what should be a purely charitable act, and even deters some potential donors.Individuals who wish to do good anonymously, as well as charities focused on protecting the privacy of donors, need a payment method that can ensure that donations reach recipients securely and traceably while fully protecting donor anonymity, allowing goodwill to flow freely.The case of Ethereum founder Vitalik Buterin using Tornado Cash to make anonymous donations to Ukraine is a strong example that shows that even industry leaders have a strong desire to protect the privacy of donations in certain situations.

BenFen Chain privacy payment is the ideal tool to achieve this goal.Donors can donate directly to the charity’s public address through this sub-chain, and the entire process completely hides the donor’s wallet address and specific donation amount.This section can further promote cooperation with large public welfare foundations to jointly promote the establishment of “charitable privacy payment” standards.Reshape the philanthropic culture and encourage more donations that come from the heart, especially attracting donors who do not want to reveal their wealth or want to keep a low profile for various reasons to participate in public welfare, so that charity can truly return to its purest and freest essence.

For G-side and third parties: Private payment is the next generation regulatory technology to achieve “precise compliance”

1. Achieve “auditable privacy”: Take the Tornado Cash incident as an example to explore the new paradigm of AML/CFT compliance

As blockchain technology continues to evolve, especially the enhancement of anonymity and privacy protection functions, the traditional financial regulatory system is under unprecedented pressure.Regulators have historically relied onTransaction traceabilityandsubject identifiabilityTwo pillars are used to perform AML/CFT duties, but while strong privacy technology protects user data, it also weakens the supervisor’s ability to obtain transaction information on the chain.This kind of “technical blindness” forces regulatory agencies to rely on traditional means such as territorial jurisdiction and sanctions against controllable entities, without being able to distinguish legitimate users from violators. As a result, regulatory measures often exhibit “one size fits all” characteristics – both cracking down on illegal activities and restricting citizens’ freedom to engage in legitimate privacy transactions.

The Tornado Cash incident is a classic example of this dilemma.In 2022, the U.S. Treasury Department sanctioned Tornado Cash because the currency mixer was used by some malicious actors to launder money, including fund flows related to North Korean hacking groups (U.S. Treasury, 2022).The incident shows that when anonymous transactions cannot be efficiently managed, supervision can only use indirect means to control risks, but cannot accurately identify legal and illegal transactions.This reveals a deep contradiction: privacy technology designed to protect individual rights and the regulatory system to maintain public safety are trapped in a game under the existing structure.Regulators urgently need a technical means to enable them toDo not monitor all legal transactions and do not violate public privacy rightsUnder the premise of realizing efficient and accurate identification and prevention of illegal activities, that is, the transition from “extensive blockade” to “precision management”.

In this context, this sub-chain proposes an innovative solution for “auditable privacy”.We build compliance capabilities into the protocol layer through Complex Multi-Party Security Computation (MPC), making “regulatorability” a core feature rather than an afterthought.Specifically, regulatory agencies can verify transaction compliance (such as “this transaction does not involve addresses on the sanctions list”) without looking at the transaction amount and participant identities, achieving an upgrade from traditional “data supervision” to “logical supervision” in the technical paradigm.

The structure of this branch chain adoptsDouble-layer compliance design:

•The first layer: KYC identity basics
Cooperate with compliance service providers to provide off-chain KYC certification for enterprises and high-frequency users, and generate verifiable credentials.This not only ensures that the participants are legal, but also provides an institutional foundation for AML/CFT and is the trust anchor for all advanced financial activities (especially corporate payments, payroll, etc.).

•Layer 2: Protocol layer auditable privacy
On the basis of confirming identity compliance, MPC is combined with zero-knowledge proof technology to achieve transaction privacy protection and auditability.Regulators can verify transaction compliance without exposing the transaction amount or identity information of both parties, thereby ensuring that the vast majority of legitimate transactions enjoy default privacy while providing precise governance tools for supervision.

This two-tier architecture systematically solves the core contradiction of supervision: regulatory agencies can effectively crack down on illegal activities, while enterprises and individual users can protect financial data and business secrets within a compliance framework.This sub-chain thus provides key infrastructure for the large-scale enterprise-level application of blockchain finance, so that “privacy and compliance” are no longer in opposition, creating a new era of compliance technology.

2. Improve tax audit efficiency: Take the audit of small and medium-sized technology companies as an example to build a more harmonious tax collection relationship

In traditional tax audits, tax authorities usually require companies to provide several years of bank statements and account details to verify the accuracy and compliance of their tax declarations.Take a medium-sized technology company as an example. When it undergoes routine tax audits, it not only needs to provide transaction ledgers for the past few years, but also faces the problem that the audit process takes several months and seriously interferes with the rhythm of R&D and operations.More importantly, company management is always worried that core business secrets such as customer lists, partners and pricing strategies may be leaked during the lengthy audit process.This model reflects the dilemma faced by both parties: it is necessary to ensure tax fairness while minimizing interference with the normal operation of the enterprise.

As blockchain technology matures, companies are beginning to explore using blockchain to record transaction data in daily operations to improve efficiency, transparency and security.Some blockchain platforms (such as Ethereum and Hyperledger) can realize real-time on-chain and automated recording of financial transactions, providing potential convenience for tax audits.PricewaterhouseCoopers (PwC) has also proposed using blockchain technology to track corporate taxes and transactions, aiming to improve tax compliance and transparency and reduce the burden of manual audits through on-chain data.

However, there are still major problems with existing blockchain solutions: Although the transparent ledger provides a complete transaction record, the amount of each transaction, the parties to the transaction, and their associated relationships are all disclosed to the outside world. This will lead to the exposure of corporate business secrets, especially sensitive data involving customer lists, revenue structures, and partner information.Therefore, traditional blockchain records alone cannot solve the need for corporate privacy protection during the audit process.

BenFen Chain’s private payment and related technologies emerged to fill this gap.When enterprises use this sub-chain to record transactions in daily operations, they can generate necessary certificates during the audit process and verify propositions to the tax bureau without disclosing the details of each transaction.This “data is available but not visible” design effectively protects the company’s business secrets and customer privacy while ensuring audit compliance.Furthermore, this sub-chain integrates complex privacy computing technology (complex MPC) at the protocol layer, and combines it with off-chain KYC certification to form a “dual-layer compliance system.”Regulators can verify the compliance of transactions without looking at the specific amount and information of both parties to the transaction, achieving advanced standards of “privacy by default, selective disclosure”.This not only improves the efficiency of tax audits and reduces corporate compliance costs, but also helps build a more trusting and efficient collection relationship and promotes the large-scale application of blockchain in the fields of corporate financial management and tax compliance.

The twelve scenarios we have analyzed in depth above jointly confirm a core point: privacy payment is not a marginalized function, but a core component that repairs the key flaws of the existing blockchain paradigm and unleashes its true potential.It enables blockchain technology to better serve the mainstream business society, individual users and regulatory systems by providing refined technical guarantees for business secrets, personal dignity and compliance efficiency.

However, this is just the beginning.When “payment privacy” becomes a reliable basic capability, a broader space for innovation will be opened.Picture this:

• How many times will the liquidity of DeFi increase if institutions can execute strategies on the chain without being sniped?

• How fair would governance be if the DAO’s votes were no longer influenced by large players?(e.g. A16Z has veto power in Uniswap)

• How accurate would price discovery be if auctions were no longer anchored by “first bid” expectations?

• If companies could jointly analyze data without revealing business secrets, how many new collaboration models would be born?

These scenarios could not be realized in the past, not because the technology was immature, but because the contradiction between “transparency” and “privacy” had not been resolved.When you have to choose between “publicity for trust” or “privacy but isolation”, many high-value collaborations simply cannot happen.Now let’s think furtherWhen privacy becomes infrastructure and no longer a luxury, what can we build with it?

This is not a show of technology, but a redefinition of “trust” – from “publicity can be trusted” to “encryption can also be trusted”, from “transparency can be collaborative” to “privacy can also be collaborated”.

Building the dream of the future – from “private payment” to “private collaboration”: a paradigm shift

In the past ten years, we have witnessed breakthroughs in privacy technology in the field of payments – Zcash, Monero, Tornado Cash and other protocols have made “who transferred how much money to whom” untraceable.This is the 1.0 era of privacy technology:information hiding.

But Payment Privacy is just the beginning.The real future lies in:process privacy(Flow Privacy)、behavioral privacy(Behavioral Privacy), and ultimatelyCollaboration privacy(Collaborative Privacy).

What is the difference between these three?

•process privacy:Hide trading strategies, market behavior and intent patterns

•behavioral privacy——Hide trading behaviors, strategic paths and market intentions to prevent the operation mode from being speculated

•Collaboration privacy: Establish a “protected collaboration space” between multiple parties, data does not leave the local area, and insights are shared in a confidential state

We believe that the future world will take “protected collaboration” as its core to redefine the boundaries of payment, transactions, governance and social cooperation.

Privacy is no longer “invisible” but “selectively seen”.

Trust no longer originates from a center, but from verifiable cryptographic collaboration.

This is not a minor technical fix, this is a reconstruction of the trust infrastructure.

1. Transaction Process Privacy: The Birth of Dark Pool on the Chain

Why do institutions need privacy markets?

The transparency of traditional blockchain is a protection for retail investors, but a curse for institutions.

When an asset management institution executes a large transaction on the chain, the entire market can see it: counterparties can speculate on your strategy, arbitrageurs can steal your orders, and competitors can copy your model.This “forced transparency” makes the on-chain market full of information asymmetry, but distorts the price discovery mechanism.

In traditional finance, Dark Pool exists precisely to solve this problem – to allow large transactions to be conducted in an anonymous environment and avoid market impacts.But the centralized Dark Pool has fatal flaws:

•Operators can do evil:Front-running, leaking information, manipulating prices

•Regulatory opacity:Unable to verify whether the transaction was executed fairly

•single point risk:The collapse of centralized systems will destroy the entire market

TX-SHIELD is building aRegulatory Privacy Market Layer(Regulated Dark Pool On-Chain) – a trading infrastructure that achieves “selective transparency” in a decentralized environment.Duty is the embodiment and core carrier of this infrastructure.

How does technology achieve “selective transparency”?

The core challenge here is:How to allow both parties to the transaction to see each other, allowing regulators to intervene when necessary, but leaving other market participants in the dark?

TX-SHIELD adopts a multi-layer privacy architecture:

1.order level: Based on the order matching mechanism of multi-party secure computing (MPC), transaction intentions are submitted and matched in a confidential state

2.Execution layer: Zero-knowledge proof (ZKP) ensures that the validity of the transaction can be verified, but the specific parameters (price, quantity, identity) are not disclosed

3.Compliance layer: Selective Disclosure mechanism (Selective Disclosure), the supervisor holds the decryption key and can access specific transaction records under judicial procedures.

This means:

•Markets can no longer be manipulated by disclosure— Transaction intentions are kept confidential until execution

•Institutions can securely enforce policies on-chain— No need to worry about information leakage

•Stablecoins and RWA (real world assets) can circulate in privacy— Balancing compliance and privacy

Dark Pool is not only a market tool;The underlying infrastructure of privacy finance.It allows traditional financial institutions to seriously consider “going on-chain” for the first time, because they no longer need to choose between transparency and policy protection.

2. DAO Governance: How Confidential Voting Reshapes the DAO

The Dilemma of DAO Governance: The Price of Transparency

The ideal of a Decentralized Autonomous Organization (DAO) is to allow community members to make joint decisions through voting, replacing traditional hierarchical structures with code and consensus.

But in reality, DAO governance often backfires:

•Voting results are observed in advance: The votes of large households will affect the decisions of small households, forming a “following the trend effect” (e.g. Uniswap, Radiant Capital)

•Social influence kidnaps rationality: Well-known KOL’s public stance suppresses dissent

•Election bribery and collusion: When voting results are visible in real time, coordinated attacks become easier

The root causes of these problems are:Excessive transparency leads to information asymmetry rather than solving it.

True democracy requires two conditions: free expression (not influenced by others) and verifiable results (ensuring no cheating).Traditional public voting only meets the second condition.

Confidential voting: Bringing honesty back to governance

TX-SHIELD’s confidential voting mechanism is based onHomomorphic encryption(Homomorphic Encryption) andMulti-party secure computing(MPC):

• Ballots submitted by voters are submitted to the chain in a confidential state

• The vote counting process is conducted in an encrypted state, and no one can see the content of individual votes

• The final result is publicly verified through zero-knowledge proof to ensure that the vote counting process is correct

This seems simple, but in fact it redefines the trust logic of DAO:

“Privacy makes governance honest.”

Under this framework:

• Everyone’s vote is independent and not influenced by others

• Large players cannot manipulate small players through “signal displays”

• The correctness of the results can be verified mathematically rather than relying on trust

More importantly, this mechanism can be extended toMore complex governance scenarios:

•Hierarchical governance: Voters with different weights, the weights are aggregated in a dense state

•proxy voting:The entrustment relationship is confidential, but the voting results are traceable

•prediction market: Decentralized prediction market based on confidential voting

When governance shifts from “public transparency” to “verifiable privacy”, DAO truly has the possibility to become a new organizational form.

3. Confidential bidding releases true value

What is the essence of bidding?

In economics, bidding is regarded as a “price discovery mechanism” – returning items to their true value through competition.

But traditional bidding has a fundamental flaw:information anchoring effect(Anchoring Effect).

When the first bidder bids 1 million, the psychological expectations of others are anchored around this number.Even if someone thinks the item is worth $2 million, he might only bid $1.1 million—because he’s afraid of “bidding too much” and looking stupid.

The result is:Bidding is not about discovering prices, but about guiding prices.The first person to bid controls the psychological expectations of the entire market.

Blockchain implementation of sealed auctions

TX-SHIELD’s privacy bidding mechanism adoptssealed bidThe digital form of (Sealed-Bid Auction):

1.submission stage: Bidders submit encrypted bids, and no one (including the auctioneer) can see the specific amount.

2.Revealing stage: All bids will be automatically decrypted through smart contracts after the agreed time.

3.settlement stage: The highest bidder wins, and other bids are returned (or a second price auction is used based on the mechanism design)

This allowed the market to truly realize for the first time”Competition with symmetric information“—Each bidder bases his or her bid based on his or her true valuation, not the signals of others.

Application scenarios: from NFT to carbon credits

This mechanism can be applied to all scenarios where “fair price discovery” is required:

•NFT auction:The value of art is determined by real demand, not hype expectations

•carbon credit market: Companies bid based on actual emission reduction costs, rather than strategic bidding.

•spectrum auction:The government sells spectrum resources, and operators cannot lower prices through signal gaming.

•data auction:Companies bid for data sets under privacy protection to avoid price disclosure of business strategies

Confidential bidding is not only a technical tool, but also a key step for privacy technology to enter the value discovery layer.It proves that privacy is not the enemy of efficiency, but the prerequisite for a fair market.

4. Unlock a new collaboration mode

The End of Privacy: Reconstructing Social Collaboration

If the first three scenarios are the application of privacy technology at the “transaction” and “governance” levels, then the fourth dimension isReconstruction of social collaboration itself.

When individuals, institutions, and machines can collaborate securely in a dense state, we begin to unlock new socioeconomic models—models that were unable to be realized in the past due to “too high trust costs” or “unable to guarantee privacy.”

Scenario 1: Anonymous creation reward system

question:Creators often face “identity bias” when publishing their works – the works of well-known authors tend to gain attention, while the works of newcomers are buried.This leads to distortion of the evaluation system.

TX-SHIELDPlan:

• The identity of the work is encrypted and hidden when submitted

• Reviews and rewards are conducted anonymously

• After the quality of the work reaches a threshold, the creator can choose to disclose his or her identity

• Profit sharing is automatically executed through smart contracts, and creators, curators, and platforms are allocated proportionally

This model has shown potential in the fields of music, literature, design and other fields – when “work” is unbound from “author”, the value of creativity can be purely evaluated.

Scenario 2: Decentralized credit lending

question: Traditional credit assessment relies on centralized institutions (banks, credit reporting companies), but these institutions either cannot cover global users, or have problems with data monopoly and privacy abuse.

TX-SHIELD Solution:

• Users’ on-chain behaviors (transaction history, DeFi participation, social reputation) are aggregated into a “credit score” in a dense state

• Borrowers and borrowers do not need to expose specific data, but can verify each other’s credit rating

• The scoring model is governed by the community, the algorithm is transparent but the data is private

This model of “assessing credit by encrypted data, not identity” allowsThe unbanked(Unbanked) can also obtain financial services while protecting privacy from abuse.

Scenario 3: Cross-enterprise joint data collaboration

question: Medical, financial, logistics and other industries have a large amount of high-value data, but due to privacy regulations (GDPR, HIPAA) and competition, these data cannot be shared.This results in limited AI model training and the inability to generate industry insights.

TX-SHIELD Solution:

• Based onfederated learning(Federated Learning) andMulti-Party Secure Computation (MPC)Framework, data remains local to the enterprise

• Model training is performed in a dense state, and only gradient updates are shared (and the gradients undergo differential privacy processing)

• The final model is jointly owned by all participants, but no party has access to the other party’s original data

This model is changing fields such as medical research (multi-hospitals jointly train diagnostic models), financial risk control (multi-banks jointly anti-fraud), supply chain optimization (multiple companies jointly predict demand).

This is exactly the vision of TX-SHIELD’s MPC-FL (Multi-Party Secure Computing + Federated Learning) framework: a system that allows “privacy to become a social collaboration infrastructure.”More importantly,TX-SHIELD solves the core problem in federated learning: how to fairly quantify the contribution of each party?This is the essential difference between TX-SHIELD and traditional federated learning solutions.

In traditional federated learning, all participants jointly train a model, but it is impossible to accurately measure who contributed how much value.This leads to two fatal problems:

•Free rider problem:The party with poor data quality can also enjoy the same rights.

•Incentive imbalance:The party with high data value has no incentive to continue to participate

The TX-SHIELD framework uses dense state calculations to enableQuantify and score each party’s model contribution:

•Company A contributed 30%—The marginal contribution of its data to the improvement of model accuracy

•Company B contributed 34%— Its data covers key long-tail scenarios

•Enterprise C contributed 36%— It has the highest data quality and reduces model variance

Based on this contribution metric, equity is automatically allocated:

•governance rights: The voting weight is proportional to the contribution, and parties with high contributions have a greater say in model iteration decision-making.

•usufruct rights: Model commercialization income is distributed according to contribution, the more you work, the more you get.

•data sovereignty: Any party can withdraw at any time, and its contributions will be recorded but the data will not be retained.

This contribution is not calculated once, but dynamically updated as the model iterates.When a party continues to provide high-quality data, its equity proportion will gradually increase; if the data quality declines or stops contributing, its proportion will decrease accordingly.Equity distribution will be solidified only when the model is no longer updated.This creates a self-optimizing incentive mechanism——Participants have the incentive to continue to provide high-quality data, rather than “one-and-done transactions.”

This is the essential difference between TX-SHIELD and traditional federated learning schemes.

Google’s Federated Learning, OpenMined and other solutions solve the problem of “how to train models under privacy protection”, but they assume that all participants are equal – whether you provide 1 million high-quality data or 10,000 noisy data, your rights and interests are the same.

TX-SHIELD further answered:How to ensure fairness in collaboration under privacy protection?We not only protect privacy, but also quantify contributions and distribute rights.

This “verifiable fairness” changes collaboration from “moral constraints” to “mechanical guarantees”:

In the medical field, large tertiary hospitals and grassroots clinics can cooperate on an equal basis – tertiary hospitals provide complex case data, and grassroots clinics provide data on common diseases. The contributions of both parties are accurately measured, and it is no longer “big hospitals lead and small clinics accompany”.

In the financial field, big banks and small financial technology companies can join forces to fight against fraud – the historical data of big banks and the real-time data of small companies are both valuable, and the rights and interests are distributed according to actual contributions. It is no longer a zero-sum game of “big eating small”.

In the field of supply chain, brands, logistics companies, and retailers can jointly optimize inventory – each party’s data (sales forecast, transportation efficiency, inventory turnover) are quantified as specific contributions to model improvement, and the benefits are shared in proportion.

This is not only a technological innovation, but also a revolution in the collaboration paradigm: when contributions can be quantified, trust can be calculated; when rights and interests can be verified, collaboration can occur and continue.

Scene four:Dense collaboration infrastructure and data quantification

The most radical imagination is:The intelligence of the future does not belong to a single AI, but to an AI network.Multiple AI Agents will collaborate in a trusted privacy layer, just like neurons make up a brain—a single neuron is mundane, and network connections create consciousness.

Why does AI need collaboration?

Today’s AI models are increasingly specialized: some are good at image recognition, some are proficient in natural language, and some specialize in mathematical reasoning.But real-world problems often require cross-domain capabilities—diagnosing diseases requires simultaneous analysis of medical images, medical record text, and genetic data; autonomous driving requires the integration of visual perception, path planning, and traffic prediction.

A single AI cannot do everything, and collaboration becomes inevitable.

But there is a fundamental contradiction here: AI models are assets and competitiveness.When two AIs need to collaborate, they cannot simply “expose” each other – this results in models being reverse-engineered, training data being extrapolated, and trade secrets being leaked.

TX-SHIELDcoreThe solution is:Provides cryptographic infrastructure for building AI collaboration.

Specific scenario:

Medical diagnostic collaboration

• Agent A (imaging AI) analyzes CT scans and finds abnormalities in the lungs

• Agent B (pathology AI) infers possible causes based on symptom descriptions

• Agent C (gene AI) evaluates treatment options based on patient genotype

• Three AIs exchange reasoning results in a dense state and generate a comprehensive diagnostic report

• But no AI can see the model parameters or training data of other AIs

Financial risk control collaboration

• Agent A (Trading AI) detects abnormal trading patterns

• Agent B (Credit AI) evaluates users’ historical credit records

• Agent C (anti-fraud AI) cross-validates multi-source data

• The final risk score is output, but the models and data of each AI remain isolated

Autonomous driving collaboration

• Vehicle AI needs to cooperate with urban transportation system AI, weather prediction AI, and logistics scheduling AI

• They share necessary information (traffic conditions, weather, delivery needs) in a confidential manner

• But their respective algorithm logic, historical trajectory data, and business strategies remain private

Technical implementation:Dense model inference collaboration

When AI agents need to share models, experiences, and reasoning results, they should not expose data directly to each other (this will lead to model reverse engineering or data leakage), but should exchange information in a confidential state:

• Agent A and Agent B jointly infer a conclusion without exposing their respective models.

• Agent C can verify the correctness of this conclusion, but cannot deduce the model parameters of A and B

• Collaboration processes can be audited, but reasoning details remain private

This “dense collaboration” will become the foundation of the future AI economy.

When AI Agents begin to own assets (encrypted wallets, digital identities), execute contracts (smart contracts on the chain), and provide services (API calls, data exchange), the trust mechanism between them must be cryptographic-level—not “I believe you will not do evil”, but “cryptography guarantees that you cannot do evil.”

Furthermore, TX-SHIELD’s contribution quantification mechanism can also be applied to AI collaboration:Each Agent’s contribution to the final result can be quantified, and the benefits are distributed proportionally.This enables true “economic collaboration” between AIs rather than pure technical docking.

Imagine a future Web3 collaboration scenario based on the TX-SHIELD framework:

• A medical diagnosis task is completed by 5 professional AI collaborations for a fee of US$100

• Imaging AI contributes 35%, pathology AI contributes 30%, genetic AI contributes 20%, drug AI contributes 10%, and coordination AI contributes 5%

• Automatic income distribution: USD 35/30/20/10/5

• The entire process is verifiable on the chain, but the models and data of each AI are completely private

This is not science fiction, this is the inevitable direction of the integration of cryptography, blockchain, and AI.

TX-SHIELD hopes to become the trust infrastructure of this AI collaboration network – allowing Agentic AI or robots to collaborate like humans, but more trustworthy than humans.In the new paradigm, trust comes from cryptography—you don’t have to disclose information, you just have to prove you followed the rules.Zero-knowledge proof, multi-party secure computation, federated learning,These technologies unbundle “verification” and “disclosure”, and separate “collaboration” and “exposure”.We believe that privacy is not a border, but a bridge to the future.

Conclusion: Privacy is the new language of trust

Starting from “solving the current pain”, we have witnessed how private payments can serve as a solid barrier to protect business secrets, defend personal dignity, and achieve precise compliance.It fixes the inherent flaws of the transparent blockchain and makes it truly capable of serving the real world.Furthermore, we move towards “building the dream of the future” and imagine the infinite possibilities that will be inspired when privacy becomes the default setting.From on-chain Dark Pool to confidential voting, from confidential auctions to a new data collaboration paradigm, we clearly see that privacy is no longer just about “hiding”, but also about “empowerment”; it is not only a shield of defense, but also an engine of collaboration.

This is a profound paradigm shift: we are moving from an era in which “transparency must be exchanged for trust” to a new era in which “cryptography can guarantee trust.”The source of trust shifts from forced public exposure to verifiable confidential computation.

The vision of the joint exploration between this branch of the public chain and TX-SHIELD lies in this: we are not only developing a function or a set of protocols, but also jointly laying the foundation of trust for the next generation of the Internet.In this future:

Enterprises can collaborate without worries in competition and stimulate innovation;

Individuals can live freely in the digital world and regain sovereignty;

Society can achieve more efficient collaboration and release collective wisdom while protecting privacy.

Privacy is never the end.It is the starting point towards a freer, fairer and more efficient digital civilization.And we are working together to make it a reality.

AboutBenFen

BenFen is a high-performance public chain specially built for stable currency payments.Based on the Move language, we have created a secure, low-cost and highly scalable underlying network.Its core feature is that it supports users to directly use stable coins to pay gas fees, which greatly lowers the threshold for use and paves the way for large-scale applications.On top of its strong cross-chain and multi-currency settlement capabilities, this sub-chain covers multiple payment scenarios through rich ecological applications.More importantly, we provide enterprise-level users with vital privacy payment options to ensure that they can enjoy the efficiency advantages of blockchain while protecting core business data from being leaked.

This branch is committed to becoming a global stablecoin circulation network that serves corporate payroll, cross-border payments, e-commerce and offline merchants, a next-generation financial infrastructure that takes into account efficiency, cost and security.

AboutTX-SHIELD
Tx-SHIELD is a supervised chainPrivacySettlement infrastructure, providing both stablecoins and blockchain applicationsPrivacy, supervise visible payment and settlement capabilities.

Core solution:

•TX–SHIELD:Privacy infrastructure for blockchain applications, realizing confidential transactions, dark pools, and privacy-focused protocol layers.

our innovations:

We not only protect transaction privacy, but also reshape the ownership and security of assets through distributed cryptography.TX-SHIELD’s solution allows enterprises and financial institutions to achieve joint custody of assets, privacy clearing and regulatory compliance audits without revealing commercial secrets.

We are building such a layer of infrastructure:Let privacy no longer be a barrier to regulatory and institutional adoption;YesBecome a protective layer for financial flows.