Audience

Enterprise data security and developers needing to find and mask PII in semi- and unstructured data sources

About IRI DarkShield

IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections.

DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it finds in:

* NoSQL & RDBs
* PDFs
* Parquet
* JSON, XML & CSV
* Excel & Word
* BMP, DICOM, GIF, JPG & TIFF

DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.

Pricing

Starting Price:
$5000
Pricing Details:
Ranges from USD 5K-50K for perpetual use on first masking engine host. Runs on-premise or
and cloud/container pricing is also available.
Free Trial:
Free Trial available.

Integrations

API:
Yes, IRI DarkShield offers API access

Ratings/Reviews

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

IRI, The CoSort Company
Founded: 1978
United States
www.iri.com/products/darkshield

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

IRI DarkShield Frequently Asked Questions

Q: What kinds of users and organization types does IRI DarkShield work with?
IRI DarkShield works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does IRI DarkShield support in their product?
IRI DarkShield supports these languages: English.
Q: What kind of support options does IRI DarkShield offer?
IRI DarkShield offers support via phone support, 24/7 live support, and online.
Q: What other applications or services does IRI DarkShield integrate with?
IRI DarkShield integrates with: Amazon DynamoDB, Amazon EC2, Amazon Redshift, Amazon S3, Apache Cassandra, Apache HBase, Apache Kafka, Azure Blob Storage, Azure Cosmos DB, Microsoft Azure, Cloudera, Datadog, Dropbox, Elasticsearch, Microsoft Excel, Google Cloud Storage, IBM Db2, IRI CellShield, IRI FieldShield, IRI Voracity, HPE Ezmeral Data Fabric, Microsoft Word, MongoDB, NGINX, and Oracle Cloud Infrastructure and more.
Q: Does IRI DarkShield have an API?
Yes, IRI DarkShield has an API.
Q: What type of training does IRI DarkShield provide?
IRI DarkShield provides training in the form of documentation, live online, webinars, in person, and videos.
Q: Does IRI DarkShield offer a free trial?
Yes, IRI DarkShield offers a free trial.
Q: How much does IRI DarkShield cost?
Pricing for IRI DarkShield starts at $5000.
Q: What pricing for support is available for IRI DarkShield?
IRI DarkShield offers support included with purchase and additional fee / premium available.
Q: What pricing for training is available for IRI DarkShield?
IRI DarkShield offers training included with purchase and additional fee / premium available.

IRI DarkShield Product Features

Cybersecurity

AI / Machine Learning Supported
Tokenization Supported
Vulnerability Scanning Supported
Whitelisting / Blacklisting Supported
Behavioral Analytics Not Supported
Endpoint Management Not Supported
IOC Verification Not Supported
Incident Management Not Supported

Data Discovery

Contextual Search Supported
Data Classification Supported
Data Matching Supported
False Positives Reduction Supported
Sensitive Data Identification Supported
Visual Analytics Supported
Self Service Data Preparation Not Supported