Press Release
Platon: To create a new digital civilization by Protecting CryptoArts
CryptoArts, a new favorite in the digital age
Recently, a NFT painting of digital artist Beeple was sold for $69.34 million, setting a record price for cryptoart. Earlier, Dorsey, the CEO of twitter, transferred his first tweet as a NFT, with the price of about $2.9 million. The birth of these high-priced works of art has pushed the cryptoart into the artistic field，which has been changing people’s traditional cognition and empirical judgement of art. So what is NFT? Is NFT valuable?
NFT (non-homogeneous token) is also a kind of cryptocurrency asset, which relying on the blockchain network behind it. The holding information of these assets can be recorded in the blockchain. Different from bitcoin and Ethereum, each NFT is unique, so it is not for exchange, like basic commodity purchase or other basic transactions money. However, because of that NFT assets can’t be copied, works of art or collections can be transferred on the blockchain network as the unique cryptocurrency asset. For example, if you successfully register as a password artist on the NFT trading platform, your uploaded works of art can also become a NFT asset. The process of becoming a NFT can be regarded as “coinage”, and then by aggregating into blocks to become the unique token asset on the blockchain.
All along, the biggest attribute of art is uniqueness and irreplaceable, which coincides with the essence of NFT. In the traditional art market, artworks are repeatedly sold at high prices, which is unmatched by any other industry. At present, cryptoart is the most powerful growth area in the digital collection market.
Perfect combination of encryption technology and artistic value
Although NFT assets are unique and irreplaceable, and can exist in different forms and contents, their essence is still token. Token itself has no intrinsic value. Only when it is placed on the value system of the real world, can it be endowed with specific meanings.
When we buy a NFT, it actually means that we buy a “digital certificate” representing the ownership and authenticity, that is, we get a unique password generated by blockchain technology. For example, if you buy a painting in the art field, what others see is only a copy of the digital picture, while the buyer has the only original copy of the whole network. This work has been authenticated by blockchain technology, and has a digital signature that cannot be copied, so that buyers can confirm the uniqueness of their collection. The underlying logic is the consensus mechanism based on the network computing power of blockchain. For the cryptoart, this network flow based consensus is important. Through effective mechanisms to improve consensus, let more people know about the works, and by exposure and auction, or artists’ appearance on public media, can achieve “value-capture”, thus increasing the collection value and transaction price of works.
In this process, encryption and privacy protection technology play a key role. For a cryptoart, the owner should have both the ownership and the right to use. Currently, we only protects the ownership, but fails to protect the right to use. If the owner of a work puts a cryptoart on display in the gallery, the owner can get a share of the income from the exhibition, and only with the authorization of the owner, can the art work be fully displayed. Only in this way can the right to use of cryptoart be more effectively protected, which is what PlatOn’s privacy computing has been working for.
The privacy token contract of PlatOn can achieve the purpose of hiding identity through zero knowledge proof algorithm. Zero knowledge proof is to make the verifier believe that one has some knowledge or ability without providing any useful information to others, so as to protect the cryptoart. In addition, digital assets need to be taxed in the future, which also involves the trade of ownership. Token’s Rosetta privacy AI framework improves the efficiency of MPC (multi-party secure computing) and provides strong support for digital asset trading.
Platon’s Alaya scheme, Protecting the cryptoart
As a global blockchain leader, PlatOn, with its rich experience in the field of privacy protection, can help the digital identification and asset digitization of traditional works of art and even real estate, and help traditional assets become indelible and unchangeable . PlatOn launched the meta network Alaya scheme on October 24 last year. The scheme is based on distributed storage system, with globally distributed nodes, and is linked in the form of NFT. It supports the subsequent change of ownership of digital assets through cooperative transfer, so as to protect cryptoart and built a new digital civilization.
In addition, in the main network release of PlatOn is launched in last month, NFT transfer is also used for voting on the chain, and NFT badges in the main network community will be sent to all voting participants. It can be seen that PlatOn’s exploration on NFT privacy protection has been in the field including the cryptoart, community souvenirs, voting and so on, which will light the dawn of new digital civilization.
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
SecuGuard is expanding a bilingual security workforce platform in Canada alongside SecuDrone Academy instruction.
Canada, 31st Mar 2026 – SecuGuard is expanding its role in Canada’s private security sector through a bilingual platform focused on connecting security professionals with employers, while also aligning with the training and operational expertise of SecuDrone Academy.
Founded by security trainer and operations professional Domingos Oliveira, SecuGuard is designed to support recruitment and workforce management in the private security industry. The platform is structured to help licensed security guards, private investigators, and protection professionals present their qualifications, experience, and availability, while giving employers access to a more focused and professional hiring environment.
The platform is built around the same core principle that guided its earlier development concept: creating a dedicated infrastructure for private security recruitment and workforce visibility in Canada. SecuGuard supports detailed professional profiles, credential presentation, candidate search tools, shortlisting functions, and direct communication features intended to improve hiring efficiency and professional standards.
A central objective of the platform is to strengthen trust and professionalism in security hiring. By emphasizing clear profile information, qualifications, and structured candidate visibility, SecuGuard is designed to help reduce hiring friction and improve the quality of matches between employers and security personnel.
The platform also reflects a broader professional ecosystem linked to Oliveira’s current work in security training and RPAS instruction. Through XGuard Security in Quebec, Oliveira provides consulting support and practical instruction aligned with private security training requirements, including BSP permit curriculum delivery in both French and English. Through SecuDrone Academy, he leads drone training and operational instruction as founder, president, head trainer, and instructor of a listed Transport Canada drone academy.
Oliveira’s professional background includes more than 22 years of experience across hospital security, intervention services, transport coordination, private protection, access control, patrol, surveillance, incident response, and high-pressure operational environments in Quebec and Nunavik. His experience includes leadership in healthcare security and transport functions, medevac support, emergency response coordination, and operational work in both urban and remote northern environments.
SecuGuard is positioned as part of that wider security and training framework. In addition to recruitment and workforce visibility, the platform is intended to support continued professional development, clearer employer access to qualified personnel, and a more structured digital environment for the Canadian security market. The platform is fully bilingual in English and French.
As demand for qualified security personnel continues across multiple sectors, the integration of workforce visibility, professional training, and operational readiness remains a growing area of focus in Canada. Through SecuGuard, alongside SecuDrone Academy, Oliveira’s current work reflects an effort to connect hiring, training, and field professionalism under a more unified model.
Media Contact
Organization: SecuGuard
Contact Person: Domingos Oliveira
Website: https://www.secuguard.org
Email: Send Email
Contact Number: +18002198499
Country:Canada
Release id:43110
The post SecuGuard Expands Security Hiring in Canada 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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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
FinancialDataExtraction.com has launched a new AI-powered platform designed to help businesses extract structured data from financial documents. The software is intended to support accounting and finance teams that need a more efficient way to move information from records into spreadsheets and operational systems.
New Jersey, United States, 31st Mar 2026 – FinancialDataExtraction.com announced the launch of its new document extraction platform, a software solution developed to help businesses capture and structure data from financial records using AI.
Financial documents are central to how organizations manage reporting, reconciliation, compliance, and daily decision-making. Yet much of that information still arrives in formats that are difficult to work with directly. Invoices, bank statements, tax forms, financial reports, and related records may already exist in digital form, but the data inside them often still needs to be reviewed, organized, and entered manually before it can be used in a meaningful way. For finance teams working under time pressure, that extra layer of handling can become a persistent operational burden.
FinancialDataExtraction.com was developed to address that challenge by focusing specifically on the structure and content of financial records. According to the company, the platform is designed to interpret key financial information from a wide range of document formats and convert it into structured output suitable for spreadsheets, accounting systems, and internal workflows. Rather than relying on fixed templates, the software is intended to adapt to variation across layouts and sources, which is often where manual review work begins to accumulate.
The company says the platform is especially relevant for businesses that need to process financial information across multiple document types without creating separate extraction logic for each one. In practice, the difficulty is often not simply reading a document, but preserving the context of values, dates, tables, and line-item relationships so they can be used accurately downstream. FinancialDataExtraction.com is positioning its software around that need, with an emphasis on helping organizations make financial records more usable once they enter the business.
The launch reflects broader efforts across finance and accounting teams to reduce repetitive document work while improving consistency in how information is captured. As more organizations seek to modernize back-office processes, the ability to extract structured data from financial records is becoming increasingly important not only for efficiency, but also for supporting faster review cycles and more reliable operational reporting.
FinancialDataExtraction.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, does not use customer files to train AI models, protects stored data with AES-256 encryption, secures data in transit with TLS 1.2 or higher, and deletes processed documents within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and handling when processing sensitive financial information.
One user described the operational effect by saying that a monthly workload involving financial documents from hundreds of vendors, which previously took several days of accounting time, can now be processed largely through automated extraction in under an hour. The company says this reflects growing demand for tools that can reduce manual effort while improving the usability of document-based financial data.
About FinancialDataExtraction.com
https://www.financialdataextraction.com is a software platform that helps businesses extract structured data from financial documents using AI. The platform is designed to make information from invoices, statements, reports, tax forms, and other financial records easier to use in spreadsheets, accounting systems, and operational workflows.
Media Contact
Organization: FinancialDataExtraction.com
Contact Person: Owen Parker
Website: https://www.financialdataextraction.com/
Email: Send Email
State: New Jersey
Country:United States
Release id:43399
The post FinancialDataExtraction.com Launches AI Tool for Financial Document Processing 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
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
DocumentDataExtraction.com has launched a new software platform that helps businesses convert document-based information into structured spreadsheet data using AI. The software is intended to reduce the manual effort often required to move data from everyday business records into usable operational formats.
Michigan, United States, 31st Mar 2026 – DocumentDataExtraction.com has announced the launch of its new document extraction platform, a software solution built to help businesses convert document-based information into structured digital data through AI.
For many companies, important operational data still arrives in formats that are easy to read but difficult to use. Documents such as invoices, receipts, contracts, purchase orders, and forms often contain information that needs to be moved into spreadsheets, accounting systems, or internal workflows before it becomes actionable. Although the files themselves may already be digital, the work of pulling out the right information often remains manual.
DocumentDataExtraction.com was developed to address that gap. According to the company, the platform is designed to read business documents in their existing format and extract relevant information into structured output without requiring document-specific templates or custom setup. The software is intended to support teams that deal with a wide range of document layouts and need a more consistent way to make those records usable across reporting and operational processes.
The company says the platform reflects a broader shift in how businesses are approaching document work. In the past, the focus was often on digitizing records or storing them more efficiently. Today, the challenge is increasingly about making the contents of those records available in a form that can move into systems, support analysis, and reduce administrative overhead. In that context, document extraction is becoming part of a larger effort to improve how information moves through the organization.
DocumentDataExtraction.com is positioned for businesses that want to reduce repetitive handling without changing the way documents are received in the first place. Rather than asking teams to standardize every format before automation becomes possible, the platform is designed to work across variation in supplier documents, internal forms, and other incoming records. The company says this is especially relevant for organizations processing high volumes of files across departments where even small differences in layout can create delays and added review work.
The company also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer documents to train AI models, and deletes files within 24 hours. According to the company, these controls are intended to support organizations that require stronger standards around privacy, security, and document handling.
One user described the operational effect by saying that document extraction work once handled by multiple full-time staff can now run automatically across a wide range of formats. The company says this reflects growing demand for tools that can help businesses move away from manual data entry and toward more scalable document workflows.
About DocumentDataExtraction.com
https://www.documentdataextraction.com is a software platform that helps businesses extract structured data from documents using AI. The platform is designed to convert information from business records into usable spreadsheet and system-ready data with less manual effort.
Media Contact
Organization: DocumentDataExtraction.com
Contact Person: Harper Foster
Website: https://www.documentdataextraction.com/
Email: Send Email
State: Michigan
Country:United States
Release id:43397
The post DocumentDataExtraction.com Launches New AI Document Data Extraction Software 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
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
SecuGuard Expands Security Hiring in Canada
FinancialDataExtraction.com Launches AI Tool for Financial Document Processing
DocumentDataExtraction.com Launches New AI Document Data Extraction Software
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