Cyberhaven vs Druva Data Security Cloud comparison

Cyberhaven provides advanced data protection, helping enterprises secure sensitive information across complex environments through real-time visibility and control.

Cyberhaven's capability to protect and manage data is crucial for businesses needing adaptability and security. It offers a unique approach that tracks data's journey, ensuring compliance and minimizing risks. This dynamic service enhances data management strategy effectively.

What are the key features of Cyberhaven?

• Data Tracing: Tracks the flow and use of data in real time, ensuring transparency.
• Automated Security Policies: Implements security policies without manual intervention, maintaining compliance.
• Incident Response: Accelerates identification and response to potential data breaches.

How does Cyberhaven provide ROI?

• Efficiency: Reduces time spent on manual data tracking and compliance reporting.
• Cost Savings: Streamlines data protection, reducing IT resource expenditure.
• Risk Reduction: Minimizes risk of data breaches with predictive insights.

Cyberhaven is effectively applied across industries like finance and healthcare, where data protection is paramount. Its implementation ensures that companies meet compliance requirements efficiently while protecting sensitive client information, leading to enhanced trust and operational resilience.

Druva Data Security Cloud is a cloud-based platform offering comprehensive data security and management for businesses. It provides features focused on data backup, recovery, archiving, and governance across cloud workloads (like Microsoft 365, Google Workspace, and Salesforce), endpoints (such as laptops and mobile devices), and virtual machines (VMs). Key functionalities include centralized management via a web-based console, automated backups and quick recovery, data archiving for compliance, threat protection with malware and ransomware detection, and data loss prevention (DLP). The platform is scalable and flexible, allowing customization to meet specific data volume and security needs.