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Veritas Alta Cloud ArchivingVeritas

Veritas Alta Archiving is a cloud-based solution that ensures compliance and governance by securely archiving and managing business-critical data across various communication channels.

Vendor

Vendor

Veritas

Company Website

Company Website

DS_alta_archivi…_overview_V0243.pdf
Product details

Veritas Alta Archiving is a comprehensive, cloud-native archiving solution designed to help organizations manage and protect their business-critical data. This platform supports a wide range of communication channels, including email, chat, collaboration tools, and social media, ensuring seamless compliance and governance. Veritas Alta Archiving simplifies data retention and migration processes, automating the identification and classification of key content to meet regulatory requirements such as GDPR, HIPAA, and CCPA. The solution offers advanced security features, including end-to-end encryption, role-based access control, and Write Once Read Many (WORM) capabilities, to safeguard data integrity and prevent unauthorized access. With AI-powered tools, Veritas Alta Archiving enhances eDiscovery and supervision, enabling legal teams to quickly locate and review relevant information. The platform's scalable architecture supports high availability and cost optimization, making it ideal for organizations in highly regulated industries. By integrating with Microsoft 365, Google Workspace, and other on-premises systems, Veritas Alta Archiving provides a unified approach to data management and compliance.

Features

  • Comprehensive Data Archiving: Supports email, chat, collaboration tools, and social media.
  • Advanced Security: Includes end-to-end encryption, role-based access control, and WORM capabilities.
  • AI-Powered eDiscovery: Enhances search and review processes with AI and machine learning.
  • Automated Compliance: Meets regulatory requirements with automated data retention and classification.
  • Scalable Architecture: Ensures high availability and cost optimization for growing data needs.