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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 IBM StoredIQ Suite?

The IBM StoredIQ® Suite effectively tackles a range of issues involving data discovery, records management, compliance, storage efficiency, and data migration. It provides an in-depth evaluation of unstructured data directly at its source, enabling organizations to gain the essential insights needed for informed business decisions. For those in the legal field, IBM StoredIQ for Legal simplifies the electronic discovery (eDiscovery) process through a methodical framework. Moreover, with IBM StoredIQ Policy included in the suite, organizations can automate their data management policies seamlessly. This approach to in-place data management empowers businesses to recognize and handle unstructured data without the necessity of transferring it to distinct repositories or applications. The suite is equipped with advanced search functionalities that significantly improve the analysis of large volumes of unstructured content. As a result, organizations can attain a more lucid and detailed comprehension of their extensive corporate data landscape. By leveraging these tools, companies are significantly better positioned to navigate the intricate challenges of their data environment with greater confidence and efficiency. This comprehensive solution not only enhances operational agility but also supports strategic decision-making processes.

Media

Media

Integrations Supported

Amazon S3
Apache HBase
Apache Parquet
Apache Spark
Azure Databricks
Cloudera
Hemi HL7
Hive
Magento
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
MySQL
Oracle Cloud Infrastructure
SQL Server
Salesforce
ServiceNow
Snowflake
Workday Extend
Zoho CRM

Integrations Supported

Amazon S3
Apache HBase
Apache Parquet
Apache Spark
Azure Databricks
Cloudera
Hemi HL7
Hive
Magento
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
MySQL
Oracle Cloud Infrastructure
SQL Server
Salesforce
ServiceNow
Snowflake
Workday Extend
Zoho CRM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site 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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/storediq-suite

Categories and Features

Data Discovery

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

Categories and Features

Data Discovery

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

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