
DB CyberTech is a cybersecurity company specializing in predictive data loss prevention solutions for structured data. Their patented technology uses deep layer 7 protocol decoding, machine learning, and behavioral analysis to monitor database communications in real-time, detecting potential malicious intent and data theft before it occurs. The company serves major financial institutions, healthcare providers, manufacturers, and government entities globally. Their product suite includes Security, Visibility, Privacy, and Compliance solutions, integrated and certified with McAfee DLP and ePO, providing intelligent monitoring, data classification, and end-to-end threat detection. Headquartered in San Diego, CA, with offices in Europe, DB CyberTech offers a cloud-ready, non-intrusive, continuous discovery and monitoring platform that reduces operational support and manual compliance labor while enhancing data protection against advanced persistent threats and zero-day attacks.

DB CyberTech is a cybersecurity company specializing in predictive data loss prevention solutions for structured data. Their patented technology uses deep layer 7 protocol decoding, machine learning, and behavioral analysis to monitor database communications in real-time, detecting potential malicious intent and data theft before it occurs. The company serves major financial institutions, healthcare providers, manufacturers, and government entities globally. Their product suite includes Security, Visibility, Privacy, and Compliance solutions, integrated and certified with McAfee DLP and ePO, providing intelligent monitoring, data classification, and end-to-end threat detection. Headquartered in San Diego, CA, with offices in Europe, DB CyberTech offers a cloud-ready, non-intrusive, continuous discovery and monitoring platform that reduces operational support and manual compliance labor while enhancing data protection against advanced persistent threats and zero-day attacks.
Headquarters: San Diego, CA
Product focus: Predictive DLP and database security for structured data
Tech: Machine learning, behavioral analysis, patented layer 7 protocol decoding
Customers: Financial, healthcare, manufacturing, and government organizations
Last disclosed funding: Series B closed Dec 11, 2014; total disclosed ~$23.8M
Data loss prevention and database security for structured data
2009
Cybersecurity
Most recent disclosed round per public profiles; other participating investors listed include Khosla Ventures and Citi Ventures.