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What is Mage Static Data Masking?
Mage™ provides extensive capabilities for Static Data Masking (SDM) and Test Data Management (TDM) that seamlessly integrate with Imperva's Data Security Fabric (DSF), effectively protecting sensitive or regulated data. This integration is designed to fit effortlessly within an organization's existing IT framework, harmonizing with current application development, testing, and data workflows, and does not require any modifications to the current architecture. Consequently, organizations can significantly boost their data protection measures while preserving their operational effectiveness, enabling a secure yet agile data handling process. Furthermore, this compatibility ensures that businesses can implement these security enhancements without disrupting their day-to-day activities.
What is IRI DarkShield?
IRI DarkShield employs a variety of search methodologies and numerous data masking techniques to anonymize sensitive information across both semi-structured and unstructured data sources throughout an organization. The outputs of these searches can be utilized to either provide, eliminate, or rectify personally identifiable information (PII), allowing for compliance with GDPR requirements regarding data portability and the right to be forgotten, either individually or in tandem.
Configurations, logging, and execution of DarkShield tasks can be managed through IRI Workbench or a RESTful RPC (web services) API, enabling encryption, redaction, blurring, and other modifications to the identified PII across diverse formats including:
* NoSQL and relational databases
* PDF documents
* Parquet files
* JSON, XML, and CSV formats
* Microsoft Excel and Word documents
* Image files such as BMP, DICOM, GIF, JPG, and TIFF
This process utilizes techniques such as pattern recognition, dictionary matching, fuzzy searching, named entity identification, path filtering, and bounding box analysis for images.
Furthermore, the search results from DarkShield can be visualized in its own interactive dashboard or integrated into analytic and visualization tools like Datadog or Splunk ES for enhanced monitoring. Moreover, tools like the Splunk Adaptive Response Framework or Phantom Playbook can automate responses based on this data.
IRI DarkShield represents a significant advancement in the field of unstructured data protection, offering remarkable speed, user-friendliness, and cost-effectiveness. This innovative solution streamlines, multi-threads, and consolidates the search, extraction, and remediation of PII across various formats and directories, whether on local networks or cloud environments, and is compatible with Windows, Linux, and macOS systems. By simplifying the management of sensitive data, DarkShield empowers organizations to better safeguard their information assets.
Integrations Supported
Amazon S3
Apache HBase
Cloudera
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP HANA
Integrations Supported
Amazon S3
Apache HBase
Cloudera
Microsoft SharePoint
Oracle Cloud Infrastructure
SAP HANA
Amazon DynamoDB
Amazon EC2
Apache Kafka
Azure Cosmos DB
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$5000
Ranges from USD 5K-50K for perpetual use on first masking engine host. Runs on-premise or
and cloud/container pricing is also available.
and cloud/container pricing is also available.
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
On-Prem
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
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/static-data-masking/
Company Facts
Organization Name
IRI, The CoSort Company
Date Founded
1978
Company Location
United States
Company Website
www.iri.com/products/darkshield
Categories and Features
Data Masking
Not specified
Categories and Features
Cybersecurity
AI / Machine Learning
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Data Anonymization
Not specified
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Sensitive Data Identification
Visual Analytics
Data Masking
Not specified