Very Good Press Release! It looks like this company is marketing its business for partnerships and customers, instead of trying to promote its stock price...This is how long term revenues are generated, which will eventually attract more serious investors, imho. I can read from what certain people post on this board and other stock boards, whether or not they are in this company for the long term or not!
Groundbreaking Approach Enables Secure Data Capabilities for the Growing Blockchain Ecosystem
SAN FRANCISCO, April 19, 2018 (GLOBE NEWSWIRE) -- Data443 Risk Mitigation, Inc., a leading data security company and current Early Stage Exhibitor at the 2018 RSA Conference, announced today that its award-winning data classification, governance, and eDiscovery product ClassiDocs™ supports advanced regulations like the General Data Protection Regulation (GDPR) and privacy legislation for the growing blockchain ecosystem. As the use of blockchain technology continues its rapid push beyond cryptocurrencies and into realms where personal data is stored and shared, the organizations that use the technology will be subject to data privacy regulations and additional international compliance requirements. ClassiDocs is able to apply classification capabilities for personally identifiable information (PII) and other information sets within a blockchain, which enables discovery, response, and remediation based on compliance mandates.
"The future of data is of course distributed and immutable," says Jason Remillard, CEO and founder of Data443 Risk Mitigation, Inc. "Distributed data technologies enabled by blockchain capabilities add a level of complexity when it comes to data privacy and regulatory compliance. ClassiDocs™ addresses this complexity with customized and explicit PII recognition capabilities coupled with enhanced enterprise data classification and extending enterprise data protection and digital rights management capabilities. It's truly a first-of-its-kind solution for the blockchain ecosystem."
Data443 launched public and validated "Validator" services in February 2018 to support the function and transactions of Ripple's ecosystem. But distributed ledger is only one segment of the rapidly growing blockchain-enabled marketplace. With Data443's ClassiDocs™, organizations and entities that use blockchain technology to store and share personal data, such as health records or taxpayer information, can enable compliance capabilities and data security requirements with GDPR and Payment Card Industry (PCI) data security standards.
Specific Features Include:
Scan authorized transactions of participating partners Apply classification, reporting, repudiation, and governance actions related to the data set Enable corporate policies for retention, audit, and compliance requirements Enable compliance to existing enterprise and geographically specific data export requirements The technology is available on a preview basis only and interested parties are invited to reach out to sales@data443.com to schedule a demonstration of the technology.
About DATA443 Risk Mitigation, Inc.
DATA443 Risk Mitigation, Inc. (OTCPK:LDSR) enables secure data - across local devices, network, cloud, and databases - at rest and in flight. ClassiDocs™, our award-winning data classification and governance technology, supports over 200 file types and 400 databases with a user-first, user-centric design that speeds ease of use and compliance-policy conformance without training. Data443 delivers classification, discovery, governance, GDPR compliance, and DSAR management coupled with DLP, CASB, SIEM, and cloud solutions to provide user-enabled, governance-enabled, up-to-date security for every data point, every time.
Forward-Looking Statements
Except for the historical information contained herein, the matters discussed in this press release are forward-looking statements. Actual results may differ materially from those described in forward-looking statements and are subject to risks and uncertainties. See DATA443 Risk Mitigation, Inc.'s filings with the SEC, which may identify specific factors that may cause actual results or events to differ materially from those described in the forward-looking statements.
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