Secuvy is a cloud-native data intelligence platform that utilizes self-learning AI to discover, classify, and correlate sensitive data across structured and unstructured environments, ensuring compliance with global privacy regulations. The platform automates data security and privacy workflows, significantly reducing operational costs and minimizing risks associated with data breaches and compliance violations.
Funding
$5.4M 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.
DTFounders
Product
Problem
Organizations struggle to locate, classify, and correlate sensitive data across diverse structured and unstructured environments. Existing data security tools often fail to handle data complexity, leaving stored data vulnerable to breaches and increasing the risk of compliance violations. Traditional manual data discovery and classification methods are inefficient and prone to errors.
Solution
Secuvy offers a cloud-native data intelligence platform that leverages self-learning AI to automate the discovery, classification, and linkage of sensitive data across various environments. The platform enhances existing DLP/CASB applications by providing accurate insights for risk assessments and compliance efforts, seamlessly integrating with existing security tools. Secuvy's unsupervised machine learning adapts to evolving threats and changing data environments, identifying new patterns of sensitive data and potential security risks. By automating data discovery and classification, Secuvy reduces the need for manual intervention, minimizes the risk of human error, and lowers operational costs associated with data governance and compliance. The platform operates as a containerized solution, deployable in the cloud or on-premise, and delivers actionable insights within hours of setup.
Target Audience
Secuvy targets enterprises seeking to enhance their data security posture, improve compliance with data privacy regulations, and reduce the operational costs associated with data governance. This includes security teams, privacy officers, and compliance managers.
Features
- AI-driven data discovery and classification across structured and unstructured data sources
- Support for over 250 connectors, including Office 365, G-Suite, Salesforce, Snowflake, and various databases and file shares
- Unsupervised machine learning that autonomously learns from data, eliminating the need for retraining
- Automated data security and privacy workflows for compliance with global regulations
- Integration with third-party applications through API connectors and JDBC/ODBC connectors
- Agentless platform that scans on-premise data sources with point-to-point network traffic
- Data Security Posture Management (DSPM) capabilities
- Automated DSAR (Data Subject Access Request) processing
- Policy Engine for defining and enforcing data governance policies