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Data443TM Risk Mitigation Inc., which is a leader in data security and privacy companies, yesterday, on September 6, announced that have been officially added to the UNIX (Unique Node List) list of the default default ecosystem Ripple (XRP).
UNL is a list of 10 organizations that provide validation nodes for reliable transaction information in the XRP ledger. Ripple therefore authenticates and considers all the nodes present on the participating UNLs reliable. These nodes are also used to validate transactions.
The move to include coverage for the list of unique XRP Ledger nodes for Data443 is considered a major development in providing enterprise-ready data security solutions for the growing blockchain market.
Jason Remillard, CEO of LandStar, Inc., which is the parent company of Data443, said: "Ripple continues to push for the decentralization of XRP Ledger to increase reliability and reduce the risk of a failure in single point While some blockchain platforms choose validators based only on mining power, XRP Ledger validators are chosen based on performance, reliability and safety.We are proud to be among the industry leaders who are providing such capabilities. as a reliable validator further confirms our role in the blockchain security services sector ".
In addition, the CEO continued by sharing positive and important forecasts on the sector highlighting important initiatives that the company will undertake to continue contributing to the development of technology.
"The business market is moving beyond the crypto-currencies compared to the blockchain and this trend will continue to expand over the next decade and beyond, Data443 has always adopted a focus on the future as far as blockchain is concerned. Validators "public and validated for the Ripple ecosystem, increasing them with additional PII detection capabilities in April. As a reliable XRP Ledger validator, we not only strengthen and support the platform, but also provide added value to the companies that use it, enabling functionality more in-depth, such as data classification, discovery and compliance for blockchain, "concluded Remillard.
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