DB CyberTech is a technology company.
DB CyberTech has raised $22.0M across 2 funding rounds.
DB CyberTech has raised $22.0M in total across 2 funding rounds.
DB CyberTech has raised $22.0M in total across 2 funding rounds.
DB CyberTech's investors include Cervin Ventures, Kayne Anderson Capital Advisors, Matrix, Meritech Capital Partners, Carl Showalter.
DB CyberTech is a cybersecurity company that pioneered machine learning-based Predictive Data Loss Prevention (DLP) for structured data in databases, focusing on real-time detection of insider threats, database attacks, and data theft post-perimeter breach.[1][4] It served major financial institutions, healthcare providers, manufacturers, and government entities by offering solutions for database discovery, deep protocol analysis, behavioral anomaly detection, and compliance monitoring, with products certified as McAfee Compatible.[1][4] Founded in 2009 in San Diego, California, the company raised $21.5M in funding up to a Series B round but ceased operations, listed as "Dead" in recent records.[2]
Its core product monitored database-client conversations using layer 7 protocol extraction, machine learning, and behavioral analysis to predict and alert on malicious intent like Advanced Persistent Threats (APTs) and zero-day attacks, reducing false positives and operational overhead compared to traditional DLP.[1][2]
DB CyberTech was founded in 2009 in San Diego, California, initially operating as DB Networks before rebranding to DB CyberTech to emphasize its focus on predictive security for databases.[2][6] The company emerged to address a critical gap in enterprise DLP: detecting structured data theft in real-time after network breaches, as hackers often lurked undetected for months before exfiltrating high-value data like personal information from centralized databases.[1][4][6]
Its team consisted of seasoned information security professionals who innovated solutions based on deep protocol decoding and machine learning.[1] Early traction included partnerships like McAfee compatibility certification for its Security, Visibility, and Privacy products, enabling integration with broader DLP ecosystems.[4] The company progressed to Series B funding, raising $17M in its last round, but ultimately shut down, with no specific pivotal moments or founder details publicly detailed in available records.[2]
DB CyberTech rode the early 2010s wave of rising database-centric breaches, where perimeter security failed against prolonged insider and post-breach attacks on structured data assets like PII in finance and healthcare.[1][4] Its timing aligned with growing adoption of machine learning in cybersecurity, predating widespread use of behavioral analytics in DLP, and addressed market forces like regulatory pressures (e.g., compliance needs) and the shift to cloud/hybrid environments exposing centralized data stores.[2][5]
Though it ceased operations, DB CyberTech influenced the ecosystem by pioneering predictive DLP for databases, paving the way for competitors like SecuPi (data security platforms with monitoring/masking), Immuta (data access control), and Proofpoint, which expanded on similar themes of activity monitoring and zero-trust data protection.[2] Its McAfee integration highlighted early interoperability trends in enterprise security stacks.[4]
DB CyberTech's legacy lies in its forward-thinking predictive DLP, but its shutdown post-Series B underscores startup risks in competitive cybersecurity amid funding winters and rapid tech evolution.[2] No active operations mean no direct future, yet its innovations persist in modern tools emphasizing AI-driven database security.
Shaping trends like zero-trust architectures, multi-cloud compliance, and APT proliferation could revive similar focused players, potentially evolving DB CyberTech's approach through acquisitions or open-source echoes—echoing how it once illuminated unseen database threats.[1][2] Investors eyeing database security should scan for heirs building on this predictive foundation.
DB CyberTech has raised $22.0M across 2 funding rounds. Most recently, it raised $17.0M Series B in December 2014.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Dec 1, 2014 | $17.0M Series B | Cervin Ventures, Kayne Anderson Capital Advisors, Matrix, Meritech Capital Partners, Carl Showalter | |
| Jan 1, 2013 | $5.0M Series B | Cervin Ventures, Kayne Anderson Capital Advisors, Matrix, Meritech Capital Partners, Carl Showalter |