Zubin employs advanced content analytics and classification to pinpoint sensitive data like PII and PHI within your organization. It then applies robust data containment and isolation measures to safeguard this critical information. By combining metadata and content analysis with statistical sampling, Zubin provides comprehensive risk exposure insights, enabling you to take proactive steps to protect your data.

Zubin offers a multi-layered approach to data security. We implement RBAC down to the data owner level, allowing for granular control over data access. Additionally, our software enforces data sharing policies and integrates seamlessly with cloud-based security tools like Microsoft Information Protection and Azure Information Protection. Zubin also automates security tasks, provides data encryption, and ensures high availability and disaster recovery to protect your data from breaches and downtime.

Zubin simplifies data retention compliance by discovering, classifying, and tagging data based on retention policies. It identifies data nearing expiration and allows for timely action, preventing data breaches and legal issues. Our software also supports data archival, deletion, and policy-based data redundancy for optimal data management.

Zubin safeguards your data with robust access controls. Our RBAC system extends permissions down to the data owner level, ensuring granular control over data access. Additionally, Zubin employs policy-based file permissions management, including features like open share reporting and security reassignments, to prevent unauthorized data sharing. By combining these measures with advanced data classification and monitoring, Zubin creates a fortified barrier against unauthorized access.

Zubin’s data observability and root cause analysis capabilities enable continuous monitoring of data usage within pipelines, ensuring data accuracy and reliability. By maintaining a centralized data index, Zubin provides complete transparency into data usage activities, fostering trust and compliance.

Zubin’s distributed architecture allows for elastic resource allocation based on data volume and throughput requirements. Our UDE (Unstructured Data Engine™) employs a hub-and-spoke model, leveraging multiple execution engines for parallel processing. This enables Zubin to efficiently handle multi-petabyte datasets and deliver rapid insights. Additionally, Zubin incorporates advanced caching, compression, and query optimization techniques to deliver optimal performance.