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What is Mage Sensitive Data Discovery?

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

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.

Media

Media

Integrations Supported

Microsoft SharePoint
Amazon DynamoDB
Amazon Redshift
Amazon S3
Apache Parquet
Cloudera
Google Cloud Build
Hemi HL7
Hive
PostgreSQL
SAP HANA
SQL Server
Salesforce
ServiceNow
Zoho CRM

Integrations Supported

Microsoft SharePoint
Box
Dropbox
Google Workspace
Microsoft 365
Microsoft Teams

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/sensitive-data-discovery-catalog/

Company Facts

Organization Name

DryvIQ

Date Founded

2011

Company Location

United States

Company Website

dryviq.com

Categories and Features

Data Classification

Not specified

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification

Categories and Features

Data Discovery

Not specified

Data Governance

Not specified

Integration

Not specified

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