Theom is an AI-driven data access governance platform that embeds within cloud data lakes and warehouses to enforce fine-grained access controls and monitor data access events in real-time. By preventing unauthorized access and detecting potential data breaches, Theom helps organizations maintain compliance with data protection regulations while minimizing the risk of data loss.
Funding
$36M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MMFounders
Product
Problem
Organizations face challenges in governing and securing data access across increasingly complex and distributed cloud data lakes and warehouses. Traditional perimeter-based security approaches are insufficient, leaving data vulnerable to unauthorized access, insider threats, and compliance violations. The lack of real-time visibility into data access events and the inability to enforce fine-grained access controls further exacerbate these risks.
Solution
Theom provides an AI-driven Data and AI Operations Center that embeds directly within cloud data platforms to deliver data access governance and security. The platform analyzes data, user identity, data usage patterns, and platform vulnerabilities to provide a comprehensive understanding of data access activities. By continuously monitoring data access events and enforcing least-privilege access controls, Theom helps organizations prevent data breaches, detect insider threats, and maintain compliance with data protection regulations. Theom's agentless architecture and native integrations with data catalogs, security stacks, and workflows enable rapid deployment and minimal operational overhead.
Target Audience
Theom is designed for CDOs, CISOs, data teams, and security teams in enterprises that manage critical data in cloud data stores and are subject to data protection regulations.
Features
- Agentless deployment that embeds natively into data platforms like Snowflake, Databricks, AWS, and Azure
- Real-time data lineage mapping and topology building to visualize data flows and dependencies
- AI-driven detection of insider threats and user impersonation attempts
- Fine-grained access controls down to the cell or column level
- Automated data classification and discovery to identify sensitive data
- Continuous monitoring of data access events with anomaly detection based on machine learning
- Integration with SIEM/SOAR systems for automated incident response
- Secure data sharing capabilities for clean rooms and data exchanges
- Comprehensive reporting tools for compliance with regulations like NIST, HIPAA, and GDPR
- Support for data contracts to monitor and enforce data usage policies