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DB CyberTech Launches Intelligent Structured Data Classification to Identify PII and Other High-Value Data

Via: ReleaseWire

Updated 12:05 PM CDT, Mon, September 17,2018

Advanced Data Classification Automatically and Continuously Identifies High-Value Content in Structured Data Stores

San Diego, CA -- (ReleaseWire) -- 09/17/2018 -- DB CyberTech, a pioneer in machine learning based predictive data loss prevention, today announced advanced data classification for structured data as a new capability integrated across their security and compliance products.

DB CyberTech's intelligent data classification utilizes natural language processing to continuously and accurately identify an organization's high-value sensitive data such as personal data, intellectual property, health records, and financial information. With this capability organizations are now able to focus security resources and compliance efforts on the specific set of databases that store sensitive data and therefore pose the greatest risk of loss to the organization.

Advanced Data Classification is available now for DB CyberTech's Predictive Data Loss Prevention and compliance solutions. The solution is offered with new cost effective software subscription pricing designed to enable small to large deployments as well as incremental deployments

Data classification operates non-intrusively by analyzing database conversations in real time. No scanning or database login credentials are necessary and there's no impact on performance.

"High-value assets like personal information continue to be the focus for data theft and the need for predictive data loss prevention and intelligent data classification has never been greater. Many organizations have significant amounts of sensitive information on databases that have been completely forgotten," said Ali Hedayati, Senior Vice President, Corporate Strategy & Products of DB CyberTech. "When that happens it's then unmaintained and not at all protected. This is evidenced by recent personal and high-value structured data losses at large enterprises. Once the data is lost, organizations struggle with their current solutions to detect the loss for a very long time – often for many months."

If you would like to learn more about identifying your high-value data please join us on our next webinar - Privacy and Security: Next Generation Intelligent Approach to Structured Data Discovery and Classification - being held October 10th at 2:00PM Eastern. You can find details about this webinar and register here.

About DB CyberTech
DB CyberTech innovates predictive data loss prevention for databases. Its customers include the world's largest financial institutions, healthcare providers, manufacturers, and governments. DB CyberTech's technology non-intrusively assesses database to client conversations through deep protocol extraction, machine learning, and behavioral analysis. Customers gain insights by discovering information assets including sensitive data, identifying tables being accessed, and mapping the specific applications accessing the databases. In addition, machine learning technology immediately pinpoints and alerts to insider threats and external database threats before data is stolen. DB CyberTech is a privately held company headquartered in San Diego, Calif.

For more information, call 800-598-0450 or visit the company's website at http://www.dbcybertech.com.

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Media Relations Contact
Rita Rheinecker
800-598-0450
Email: Click to Email Rita Rheinecker
Web: https://www.dbcybertech.com