DryvIQ is an AI-driven software platform designed for enterprises to manage, classify, and secure unstructured data across diverse repositories. It provides centralized access, deep analysis, and automated actions to ensure data is business-ready, compliant, and protected, supporting digital transformation, governance, and AI initiatives without disrupting existing workflows.

Key Features

Unified Data Access Centralized management of unstructured data across platforms.

• Connects to Microsoft 365, SharePoint, OneDrive, Teams, Box, Google Drive, Dropbox, NFS, and more.
• Maintains original structure, metadata, and permissions.

AI-Powered Data Classification Automated discovery and classification of sensitive and business-critical content.

• Uses patented AI for deep content analysis beyond metadata.
• Detects PII, PHI, PCI, credentials, financials, and IP.

Continuous Data Governance Real-time enforcement of security and compliance policies.

• Applies classification labels, access controls, and security policies.
• Supports Microsoft Purview, Box Shield, and DLP standards.

Automated Data Actions Streamlines and automates data management tasks.

• Copies, moves, or reorganizes files across repositories.
• Encrypts, redacts, or anonymizes sensitive data at scale.

Scalability and Performance Supports large enterprises and high data volumes.

• Scans up to 300TB/day at petabyte scale.
• Dynamic autoscaling and robust security certifications (SOC2 Type II, ISO 27001).

Integration and Extensibility Open API and compatibility with business intelligence and security tools.

• Integrates with SIEM, reporting, and third-party workflows.
• Bring-your-own-AI for custom classifiers and detection logic.

Benefits

Enhanced Data Security and Compliance Reduces risk and ensures regulatory adherence.

• Real-time auditing and automated enforcement of access controls.
• Supports privacy compliance with encryption and anonymization.

Operational Efficiency and Cost Reduction Automates repetitive data management tasks.

• Reduces storage costs by archiving or removing redundant data.
• Minimizes manual intervention and IT workload.

Improved Data Quality and AI Readiness Prepares data for analytics and AI initiatives.

• Cleanses and enriches data for better insights and model training.
• Ensures only relevant, high-value data is retained.

Business Agility and Transformation Enables rapid adaptation to changing business needs.

• Supports digital transformation and cloud migration projects.
• Centralizes oversight for better decision-making.