Data443’s Data Identification Manager™ (DIM) simplifies the process of classifying organizational data by implementing consistent rules, advanced technology, machine learning, and ongoing classification oversight. This ensures accurate and continually relevant data security across the entire IT estate. The solution provides comprehensive data archiving with OCR technology, facilitating versatile privacy request management and seamless data access, search, and backup across various environments. DIM enables businesses to secure their information by identifying and protecting all sensitive data regardless of its location, platform, or format, alongside offering high-performance cloud archiving with complete governance. The system supports over 1,300 country and 40+ language smart rule sets, business-specific definitions synced from CRM, inventory, or project databases, and machine learning with initial supplied training. It also allows for optional end-user validation of classifications and classification steward notifications. DIM helps organizations scan documents to generate reports for file management, shrink content by flagging obsolete files, sort similar documents into custom taxonomies, and move files to new repositories with metadata applied. This comprehensive approach helps streamline efforts, mitigate risks, and ensure audit compliance for long-term retention requirements, including managing data roll-offs and providing visibility into data access in case of a breach.

Features & Benefits

• Centralized Management
  • Provides a single, centralized dashboard for managing and controlling data across various departments and teams in all environments.
• Enhanced Connectivity
  • Allows secure and easy management of hundreds of data repositories.
• Dynamic Data Classification
  • Automatically classifies, tags, and labels files as needed, utilizing advanced technology and machine learning.
• Inclusive Global Search
  • Enables global search and discovery across all unstructured and structured datasets.
• Defensible Disposition
  • Identifies document types, applies retention codes, and processes defensible disposition on content across the enterprise, regardless of location, repository, or format.
• Trainable ML Libraries
  • Allows training of machine learning libraries with custom datasets to hone classifications and governance policy execution.
• Seamless Data Migration
  • Features a built-in, high-scale migration platform with sophisticated data rules, capable of migrating existing data from mailstores or archives rapidly.
• Data Loss Prevention
  • Protects data from leaks, thefts, and breaches.
• Email Archiving
  • Efficiently manages archiving for virtually any volume of email from a wide variety of datasets, including Microsoft OneDrive, SharePoint, and Google Workspace (G Suite).
• Scalability
  • Accommodates growing data volumes and changing business needs, such as mergers and acquisitions, and an increasing number of legacy platforms.
• Audit Trails and Reporting
  • Provides access to audit trails and reporting functionality to track and report on data access and usage.
• Cloud-deployed
  • Can be deployed through the cloud quickly, offering immutable journaling sources for various email and cloud platforms.
• Comprehensive Data Identification
  • Utilizes 1,300+ country and 40+ language smart rule sets, business-specific definitions, and machine learning for accurate data classification.
• Privacy & Governance Compliance
  • Features a purpose-built search panel to comply with organizational privacy and governance requirements, ensuring audit compliance for long-term retention.
• Flexible Archiving Capabilities
  • Supports archiving of emails, attachments, and data from various sources like OneDrive, SharePoint, G Suite, Network Drives, Personal Drives, and Desktops/Laptops.
  • Ad hoc or scheduled archiving
  • Uses 900+ data sensitivity patterns in 14 languages for automated identification and archiving