Guepard provides a data management platform that enables instant provisioning of data copies and secure collaboration across multicloud environments, utilizing AI for sensitive data masking and compliance. The solution reduces physical resource requirements by 50% and minimizes data access wait times, enhancing operational efficiency for enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face challenges in efficiently managing and provisioning data copies across diverse multicloud environments, leading to delays in data access and increased physical resource requirements. Ensuring sensitive data is masked and compliant with regulations adds further complexity and operational overhead.
Solution
Guepard offers a data management platform that enables instant provisioning of data copies and secure data collaboration across multicloud environments. The platform utilizes AI-powered sensitive data masking to ensure compliance and minimize the risk of data breaches. By providing on-demand data access and automated data flows, Guepard reduces physical resource consumption and accelerates data delivery to teams. The engine can be installed directly into cloud and on-premise infrastructures, assisting in the setup of data flows and backup routines.
Target Audience
Guepard targets enterprises seeking to improve data access speeds, enhance data security, and reduce infrastructure costs associated with data management across multicloud environments.
Features
- AI-powered auto-identification and masking of sensitive data
- Instant data provisioning for creating infinite data copies
- Orchestration of data flows across multicloud sources
- Support for multiple database technologies and integrations
- Role-based access control for secure data collaboration
- Hosting solutions tailored to specific needs
- Continuous compliance monitoring