Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Uncompromised data protection offers the adaptability necessary to meet your specific requirements. Digital Guardian stands out among data loss prevention (DLP) solutions due to its capability to implement either a use case-based strategy (focusing on defined data types or user segments) or a data risk discovery methodology (which identifies previously unknown use cases). By utilizing this risk discovery framework, you can achieve enhanced visibility into the locations of sensitive data, its movement within the organization, and potential vulnerabilities, all without needing to establish policies. Built on AWS, Digital Guardian facilitates straightforward deployment, minimal overhead, and flexible scalability, maximizing the return on your security investment. It provides comprehensive support for Windows, macOS, Linux operating systems, and all types of applications, whether they are browser-based or native. Moreover, its unique “unknown risk” strategy further illuminates the whereabouts of sensitive data, detailing its movement and associated risks, again without relying on policies. Only Digital Guardian offers an integrated approach to data discovery and classification that encompasses content, user, and contextual factors, ensuring robust protection across your entire digital landscape. This multifaceted approach not only enhances data security but also streamlines compliance efforts across diverse regulatory environments.
Description
Mage Sensitive Data Discovery module can help you uncover hidden data locations in your company. You can find data hidden in any type of data store, whether it is structured, unstructured or Big Data. Natural Language Processing and Artificial Intelligence can be used to find data in the most difficult of places. A patented approach to data discovery ensures efficient identification of sensitive data and minimal false positives. You can add data classifications to your existing 70+ data classifications that cover all popular PII/PHI data. A simplified discovery process allows you to schedule sample, full, and even incremental scans.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon DynamoDB
No
Amazon S3
No
Amazon Web Services (AWS)
Yes
Apache Parquet
No
Apache Spark
No
Azure Databricks
No
Cloudera
No
Google Cloud BigQuery
No
Google Cloud Build
No
Hive
No
Integrations
Amazon DynamoDB
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
No
Apache Parquet
Yes
Apache Spark
Yes
Azure Databricks
Yes
Cloudera
Yes
Google Cloud BigQuery
Yes
Google Cloud Build
Yes
Hive
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Fortra
Founded
1982
Country
United States
Website
digitalguardian.com
Vendor Details
Company Name
Mage Data
Founded
2014
Country
United States
Website
magedata.ai/sensitive-data-discovery-catalog/
Product Features
Data Loss Prevention
Compliance Reporting
No
Incident Management
Yes
Policy Management
No
Sensitive Data Identification
No
Web Threat Management
Yes
Whitelisting / Blacklisting
Yes
Endpoint Protection
Activity Log
No
Antivirus
No
Application Security
No
Behavioral Analytics
No
Device Management
No
Encryption
No
Signature Matching
No
Web Threat Management
No
Whitelisting / Blacklisting
No
Product Features
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
No
Sensitive Data Identification
Yes
Visual Analytics
No