Cognigo
Cognigo was an Israeli AI-powered data security startup that developed an automated platform for discovering, classifying, and protecting sensitive data across enterprise environments, enabling organizations to maintain data privacy compliance and reduce data exposure risk.
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Cognigo built an AI-powered data security and privacy platform that automatically discovered, classified, and protected sensitive data across enterprise environments—including structured databases, unstructured file shares, cloud storage, and email systems. The platform used natural language processing (NLP) and machine learning to identify personally identifiable information (PII), financial data, intellectual property, and other sensitive content, then applied automated policy enforcement to control access, encrypt, or remediate data exposure.
Commercially, Cognigo competed in the data security and privacy compliance market alongside BigID, Varonis, Spirion, and OneTrust. Founded in 2016 in Tel Aviv by Guy Leibovitz (CEO, ex-Checkpoint) and a team of Israeli data security veterans, the company raised $9.5M from investors including Jerusalem Venture Partners (JVP) and Glilot Capital Partners. In 2019, NetApp acquired Cognigo to enhance its Cloud Data Sense and data governance capabilities with AI-driven data classification.
From a defense and national security perspective, automated sensitive data discovery and classification is critical for military and government environments where classified and controlled unclassified information (CUI) must be properly identified, labeled, and protected. The ability to automatically find and classify sensitive data across diverse storage environments directly supports defense data governance and insider threat prevention.
Dual-Use Assessment
Automated sensitive data discovery and classification is critical for military classified data governance, CUI protection, and insider threat prevention. AI-driven data identification across diverse environments supports defense data security compliance requirements.
Key Technologies
- AI/NLP-powered sensitive data discovery and classification
- Automated PII and sensitive content identification
- Machine learning data categorization across structured/unstructured stores
- Data privacy compliance automation (GDPR, CCPA)
- Policy-driven data access control and encryption enforcement
- Cross-platform data scanning (databases, file shares, cloud, email)
Use Cases & Applications
- Enterprise sensitive data discovery across hybrid environments
- Data privacy compliance automation (GDPR, CCPA, HIPAA)
- PII and financial data exposure detection and remediation
- Intellectual property classification and protection
- Military classified data governance and CUI identification (dual-use)
- Defense insider threat prevention through data access monitoring (dual-use)
Strategic Value to U.S.-Israel Alliance
Automated data classification is essential for defense data governance across classified and unclassified environments. AI-driven discovery of sensitive data supports CMMC compliance and insider threat programs.
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