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Description
To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.
Description
IRI DarkShield uses several search techniques to find, and multiple data masking functions to de-identify, sensitive data in semi- and unstructured data sources enterprise-wide. You can use the search results to provide, remove, or fix PII simultaneously or separately to comply with GDPR data portability and erasure provisions.
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 discovers in:
* NoSQL & RDBs
* PDFs
* Parquet
* JSON, XML & CSV
* Excel & Word
* BMP, DICOM, GIF, JPG & TIFF
using pattern or dictionary matches, fuzzy search, named entity recognition, path filters, or image area bounding boxes.
DarkShield search data can display in its own interactive dashboard, or in SIEM software analytic and visualization platforms like Datadog or Splunk ES. A Splunk Adaptive Response Framework or Phantom Playbook can also act on it.
IRI DarkShield is a breakthrough in unstructured data hiding technology, speed, usability and affordability. DarkShield consolidates, multi-threads, the search, extraction and remediation of PII in multiple formats and folders on your network and in the cloud, on Windows, Linux, and macOS.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon EC2
No
Amazon Redshift
No
Amazon S3
No
Apache Kafka
No
Azure Blob Storage
No
Azure Cosmos DB
No
Cloudera
No
Datadog
No
Dropbox
No
Elasticsearch
No
Integrations
Amazon EC2
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Apache Kafka
Yes
Azure Blob Storage
Yes
Azure Cosmos DB
Yes
Cloudera
Yes
Datadog
Yes
Dropbox
Yes
Elasticsearch
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$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
Yes
Free Version
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
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Fasoo
Country
United States
Website
en.fasoo.com/products/analyticdid/
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/darkshield
Product Features
Product Features
Cybersecurity
AI / Machine Learning
Yes
Behavioral Analytics
No
Endpoint Management
No
IOC Verification
No
Incident Management
No
Tokenization
Yes
Vulnerability Scanning
Yes
Whitelisting / Blacklisting
Yes
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
Yes