Predictive Database Data Loss Prevention with Continuous Monitoring
DB CyberTech patented technology is based on deep protocol extraction, machine learning, and behavioral analysis. As a result, you'll gain real-time and continuous situational awareness of all conversations between your databases and their connected clients

Launched in 2012

Industry First: Machine learning based database data loss prevention security product introduced in 2013

Pioneering Database Predictive Data Loss Prevention (DLP) cybersecurity through intelligent data mapping and database behavioral analysis

Awarded multiple patents for our novel database protocol information extraction approach and machine learning

Headquartered in San Diego, CA






Home / Company / Company Overview
DB CyberTech Company Overview
Founded to innovate prevention of data loss

DB CyberTech team of seasoned information security professionals innovates predictive security solutions that alerts to potential data loss from databases before any loss actually occurs. Our customers include the world's largest financial institutions, healthcare providers, manufacturers, and governmental entities. We enable our customers with:

  • Non-intrusive and continuous discovery of all assets on databases enabling complete and accurate forensics

  • Continuously monitoring database to client conversations with layer 7 protocol decoding to provide deep visibility

  • Machine learning based predictive threat detection to immediately alert when there is potential for data loss

Patented Award Winning Technology

DB CyberTech’s next generation technology is based on data mapping sensors at the database and deep layer 7 protocol extraction and decoding, machine learning, and behavioral analysis. The insights we provide customers “shine a light” on your database conversations. Our machine learning and behavioral analysis algorithms automatically identify anomalies to predict potential malicious intent. Our Predictive Database Data Loss Prevention solutions are focused and designed to monitor the conversation between the database and the client to alert on a potential data theft before it occurs after the perimeter has been breached. We offer unprecedented accuracy in the detection of malicious intent for data theft, Advanced Persistent Threats (APTs), and zero-day attacks while also significantly reducing operational support.