What is DryvIQ?

Develop a deep and thorough comprehension of your unstructured enterprise data to evaluate risks, mitigate threats and vulnerabilities, and enable better business decisions. Classify, label, and organize unstructured data on an enterprise-wide scale in a systematic manner. Promote quick, accurate, and comprehensive identification of sensitive and high-risk files while delivering extensive insights through artificial intelligence. Maintain continuous visibility into both newly created and existing unstructured data. Enforce policy, compliance, and governance protocols without requiring manual user intervention. Uncover concealed data while methodically categorizing and organizing sensitive information and other data types at scale, facilitating informed decision-making regarding data migration approaches. Additionally, the platform accommodates both simple and intricate file transfers across a wide range of cloud services, network file systems, or legacy ECM platforms at scale, thereby boosting operational efficiency and data management. This comprehensive strategy empowers organizations not only to manage their data effectively but also to leverage it for a competitive edge in their respective markets. Ultimately, by enhancing data governance, organizations can foster a culture of accountability and responsiveness in their data handling processes.

Screenshots and Video

DryvIQ Screenshot 1

Company Facts

Company Name:
DryvIQ
Date Founded:
2011
Company Location:
United States
Company Website:
dryviq.com

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

DryvIQ Categories and Features

Integration Software

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Data Governance Software

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Discovery Software

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics