Untraceable security system

DataQR technology can be connected to blockchain projects very well.


DataQR technology can be connected to blockchain projects very well because it makes sense to enter data into an immutable blockchain once the data has been verified. The verification process is what DataQR performs, essentially creating a zero trust environment. The blockchain keeps a verifiable lasting record and searchable history of any modification, authentication, or transaction of the data.

If parties wish to register the fact and nature of the transactions, but not the personal data itself in the public blockchain, it is enough to keep the DataQR codes in the blockchain, which provide a high enough level of encryption for only the stakeholders with the necessary keys to access the data.

A blockchain entry is made for each operation. This should be considered as part of the basic document. The blockchain ID can be viewed on the verification devices.

This process ensures the authenticity of the sequential order, traceability, and creation of the documents.


Upon User’s request a preventive threat intelligence layer is added to the real-time authentication of data as the personal identifiable information (PII) and digital footprint (email addresses and registered accounts) of the user is checked against dark web breached credential databases for exposure.

The nature of the data can be names, user names, email addresses, passwords, home addresses, telephone numbers, utility accounts, IP addresses, information about the software and hardware environment, bank account numbers, credit card details, social security numbers, mother’s maiden name, information about family members, hobbies, political or religious affiliation, job titles, places of employment, intellectual property, brands, trademarks, blueprints, strategic documents, contracts, confidential files, medical records, medical prescriptions, travel records, financial information, assets, investments, digital wallets, private keys, file hashes, legal documents, original copies, biometric images, academic records, real estate title deeds, stock certificates, paper assets, client data, and other sensitive databases.

If a match is found, indicating User’s data has been leaked, User is immediately alerted and the necessary steps can be taken to mitigate the risk of social engineering, identity theft or fraud.    

Adequate warning can be given to organizations before a supply chain incident, ransomware attack, credential leak, insider threat, or a coordinated cyber attack using tools and malware specifically developed to breach their hardware and software environment unfolds.

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