Real-time Insights
Monitor classification trends and distribution across your organization
Auto classifies across your entire digital landscape with your customized labels list.
75% of enterprise data is "dark"
Unclassified, unprotected, and underutilized data exposes your organization to:
CyberTide's AI-driven data classification platform provides the visibility and control you need to secure your data, ensure compliance, and unlock its full potential.
Intelligent data classification that scales with your business
Achieve near-perfect classification accuracy (up to 99% precision)
Superier in English, French, German, Spanish, and more, eliminating language-based blind spots.
across all your environments: cloud, SaaS,, endpoints and email.
Automatically apply and synchronize Microsoft Information Protection labels
on-premise, your private cloud or SaaS deployment model
Create detailed data classification taxonomies
Simplifying audits and demonstrating compliance across your organization.
European Union General Data Protection Regulation compliance reporting
Health Insurance Portability and Accountability Act compliance reporting
California Consumer Privacy Act compliance reporting
Digital Operational Resilience Act for financial sector compliance
See how AI-driven classification transforms your data management
Our AI engine continuously learns and improves
Scan your environment for all data (e.g MS office documents)
AI engine evaluates content and context
Auto-tag data based on sensitivity level and your labels list
Apply appropriate security controls
Powerful visualization and management of your classified data
Monitor classification trends and distribution across your organization
Find classified assets by name, type, label, or location
Track classification accuracy and identify areas needing review
Create and manage your organization's classification taxonomy
Configure monitoring for GDPR, HIPAA, PCI DSS, and other regulations
Fine-tune auto-classification settings for optimal accuracy
Join leading organizations in eliminating error-prone data labeling with an AI-based approach.