TrustRadius

Mage Sensitive Data Discovery vs. Microsoft Purview Information Protection

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Mage Sensitive Data Discovery
Score 0.0 out of 10
N/A
Mage Sensitive Data Discovery (formerly Mentis iDiscover) enables users to uncover location hidden sensitive data within the enterprise through Mage’ Sensitive Data Discovery module. With it, users can find data hidden in all types of data stores in the most obscure locations, be it structured, unstructured, Big Data, or on the Cloud.N/A
Microsoft Purview Information Protection
Score 9.0 out of 10
N/A
Microsoft Purview Information Protection (formerly Azure Information Protection) is a solution designed to enable users to better protect sensitive information. With it, users can control and secure email, documents, and sensitive data shared outside a company. From classification to embedded labels and permissions, users can enhance data protection at all times with Azure Information Protection—no matter where it’s stored or who it’s shared with.N/A
Pricing
Mage Sensitive Data DiscoveryMicrosoft Purview Information Protection
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Mage Sensitive Data DiscoveryMicrosoft Purview Information Protection
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details——
More Pricing Information
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Mage Sensitive Data DiscoveryMicrosoft Purview Information Protection
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User Ratings
Mage Sensitive Data DiscoveryMicrosoft Purview Information Protection
Likelihood to Recommend
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Mage Sensitive Data DiscoveryMicrosoft Purview Information Protection
Likelihood to Recommend
Mage Data
No answers on this topic
Microsoft
I can see using this on prints that are highly confidential. But, for everyday files, it might be overkill
Eric Atkinson | TrustRadius Reviewer
Eric Atkinson
Customer Service / IT Manager
Read full review
ScreenShots

Mage Sensitive Data Discovery Screenshots

Screenshot of Ensure efficient identification of sensitive data with minimal false positives with a patented approach to data discovery. Configure any additional data classifications over and above the 70+ out of the box data classifications covering all popular PII and PHI data. Schedule sample, full, or even incremental scans through a simplified discovery process.Screenshot of Discover all the popular data classifications mandated by global privacy regulations like the GDPR, CCPA, HIPAA, etc. Maintain dashboards that track the risk carried by individual datastores due to the presence of sensitive data. Generate reports that are specific to security leaders responsible for maintaining regulatory compliance. Audit ready reporting that displays the presence of sensitive data across the enterprise.Screenshot of Determine the likelihood of the discovered data classification being sensitive data with a scorecard approach that assigns confidence scores. Choose from 3 scan types, namely Sample Scan, Full Scan, and Incremental Scan, with flexible scanning methods. Scan only the newly added tables/rows/columns after a datastore refresh through incremental scanning.Screenshot of Scan the underlying code using MENTIS’ Code Discovery to discover users and programs with access to your sensitive data. Uncover insights as to how sensitive data came to be present in a particular location. Develop a data flow map that illustrates the proliferation of sensitive data within your enterprise.Screenshot of Deploy iDiscover with minimal effort for the configuration set up with 35 out of the box data classifications. Analyze the discovery results in a short time frame in as less as three days* with minimal additional manual effort required. Easily configure additional data classifications if required, in a simple to understand user interface.Screenshot of Utilize the power of Artificial Intelligence and Natural Language Processing that can understand the context and discover sensitive data in unstructured fields. Discover sensitive data even in log files that could otherwise go undiscovered.