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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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Press Release

Huorong Security Delivers Trusted Endpoint Protection for Personal and Enterprise Users Across China and Beyond

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Intelligent, reliable, and built for real-world stability, Huorong continues to redefine what everyday security software should look like.

Huorong Security, a cybersecurity technology company focused on endpoint protection, today reaffirmed its commitment to providing stable, reliable, and user-friendly security solutions for both personal computer users and enterprise environments. With a growing user base that continues to seek out the company for product information and protection, 向日葵远程向日葵 stands as a trusted name in Chinese cybersecurity.

Founded on the principle that security software should protect without disrupting, Huorong Security has built its reputation around solutions that are as practical as they are powerful. Whether it is a single home user looking to guard against malicious websites and intrusive pop-up advertisements or a large enterprise requiring centralized terminal management and unified policy deployment, Huorong offers purpose-built tools designed to meet users where they are.

Huorong Personal Security Software serves individual PC users with a comprehensive suite of features including virus detection, real-time protection, ad management, and system repair utilities. The software is designed for long-term installation, maintaining a light footprint on system resources while continuing to operate in the background. Users who have discovered the product through 远程官网, the company’s streamlined download experience, consistently highlight how the software runs smoothly without the slowdowns often associated with traditional antivirus programs.

Enterprise-Grade Security Without the Complexity

On the enterprise side, Huorong’s terminal security solution delivers the kind of centralized control that IT teams require in today’s threat environment. The platform supports unified security policy deployment across endpoints, vulnerability and intrusion protection, and data risk control, all managed through a single console. This approach allows security administrators to maintain consistent protection standards across an organization without creating friction for end users going about their daily work.

What makes this particularly notable is that the enterprise solution shares the same core philosophy as Huorong’s personal software: security that works quietly and efficiently in the background. Load is actively managed during scans, and task scheduling adapts based on system status, meaning employees rarely notice the protection running behind the scenes.

Technology Built Around Behavior, Not Just Signatures

At the heart of Huorong’s technical architecture is an intelligent behavior recognition system that monitors program execution in real time. Rather than relying solely on known threat databases, the system identifies suspicious activity patterns that may signal an unknown or emerging threat. This reduces false alarms, a common frustration with endpoint security tools, while simultaneously improving the detection of risks that signature-based approaches might miss.

Huorong has also built multi-dimensional ransomware threat protection into its platform. By monitoring for abnormal file encryption behavior and working to prevent exploitation processes before they can take hold, the system creates multiple layers of defense around critical data. Recovery support is also built in, offering an additional safety net in the event that a ransomware incident does occur.

Throughout all of this, 火绒下载 (Huorong Security) maintains its defining characteristic of lightweight resource usage. Long-term operation is designed to consume minimal CPU and memory, ensuring that protection never comes at the cost of a smooth user experience.

As cyber threats continue to grow in sophistication, Huorong Security remains focused on delivering tools that individuals and organizations can trust, not just during installation, but every day thereafter.

 

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Company Name: Huorong Security

Company Website: https://huoronggl.com

Country: China

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Press Release

U9 Opens New On-Chain Asset Payment Scenarios

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Tokenized Equity is bringing global assets on-chain—but the real opportunity goes beyond trading. It lies in the reinvention of payment, social connection, and real-world use cases.

U9 is a global on-chain asset payment infrastructure initiative supported by Aston Foundation. Built on Binance’s on-chain U.S. equity asset entry and connected to U.S. equity scenarios through aggregation paths such as AVE, U9 aims to fill the critical missing layer: what happens after assets go on-chain—and how they are actually used.

At the product level:

U9 Pay handles on-chain asset payments, moving assets from holding to spending

Goldhouse Social builds social and traffic scenarios, turning user relationships into a growth gateway for the payment network

The U.S. equities port connects on-chain U.S. equity assets, giving globally recognized assets a more direct path to use

When payment, social, and U.S. equities form a closed loop, U9 is no longer just a tool—it is building new infrastructure for asset flow in the Tokenized Equity era.

U9 — Opening new payment scenarios for on-chain assets

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Press Release

Scale Law Firm AI Appoints Tima Mousavi to Lead AI Education and Training for Lawyers

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Scale Law Firm AI has named Tima Mousavi as AI Education and Training Specialist to lead AI training programs for law firms in the United States and Canada.

HOUSTON, TX, United States, 27th Jun 2026 – Scale Law Firm AI, an artificial intelligence agency serving law firms across the United States and Canada, has appointed Tima Mousavi as AI Education and Training Specialist. The appointment expands the company’s AI education division and strengthens its focus on delivering practical AI training for lawyers and legal teams.

Mousavi brings more than ten years of experience in education and three years of focused work in artificial intelligence adoption. In this role, Mousavi will lead AI workshops for law firms, help legal teams set up AI-powered workflows, and train attorneys on how to use tools such as ChatGPT, Claude, Gemini, Perplexity, and Cowork in their daily work.

“Everyone talks about AI, but very few people show attorneys how to actually use it on a regular Tuesday at the desk,” said Tima Mousavi, AI Education and Training Specialist at Scale Law Firm AI. “AI training for lawyers should not be overwhelming or confusing. The goal is to make AI a reliable, everyday tool that saves attorneys hours every week.”

The AI training programs at Scale Law Firm AI are built around real legal cases rather than generic examples. Workshops cover tasks attorneys handle every day, such as reviewing contracts, summarizing lengthy depositions, checking legal citations for accuracy, rewriting billing entries, and preparing for trial. According to the company, attorneys who have completed the program report saving between 10 and 20 hours per week.

Mousavi’s approach to AI education centers on solving real problems rather than teaching theory. The training focuses on helping attorneys identify tasks that AI can handle faster, then building step-by-step workflows they can start using the same day. The emphasis is on automation that removes repetitive work and gives attorneys more time for the parts of their practice that require human judgment.

“I teach what I practice, not just what I have read,” Mousavi added. “Every workflow I train attorneys on is something I build and use every day. That is the difference between AI training that actually changes how a firm works and a lecture that gets forgotten by Friday.”

Scale Law Firm AI is the dedicated legal division of Shift Into AI, a consulting firm that helps businesses in regulated industries adopt artificial intelligence. The company offers three services for law firms: AI education workshops for attorneys, AI Twin technology that creates a digital version of an attorney for video content, and advertising management across Google, Meta, and streaming television. All services are built to align with bar association advertising rules across the United States and Canada, including guidance from ABA Formal Opinion 512, which addresses how attorneys can responsibly use generative AI in legal practice.

The AI education programs are available to law firms across all major practice areas, including personal injury, family law, criminal defense, immigration, estate planning, business and corporate law, employment law, and real estate law. Each program is tailored to the specific practice area and the everyday tasks of the participating firm.

Additional information about AI education and training programs for law firms is available at https://scalelawfirmai.com/get-report.
 

Media Contact

Organization: Scale Law Firm Ai

Contact Person: Alex Peivandi

Website: https://scalelawfirmai.com/

Email:
growth@scalelawfirmai.com

Country:United States

Release id:46514

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