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Description
IBM Cloud™ Data Shield allows users to operate containerized applications within a secure enclave on the IBM Cloud Kubernetes Service host, ensuring data-in-use protection. This innovative service facilitates user-level code to establish private memory areas known as enclaves, which remain safeguarded from higher privilege processes. Expanding support for Intel Software Guard Extensions (SGX), it broadens the programming language options from just C and C++ to include Python and Java™, as well as offering preconfigured SGX applications for popular tools like MySQL, NGINX, and Vault. Leveraging the Fortanix Runtime Encryption platform alongside Intel SGX technology, these resources empower organizations handling sensitive information to confidently utilize cloud computing solutions. By integrating IBM Cloud Data Shield, enterprises with critical data can seamlessly deploy and harness the advantages of cloud services while maintaining robust security measures. Moreover, this platform ensures that sensitive operations are executed in a protected environment, further enhancing trust in cloud-based applications.
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
API Access
Has API
Integrations
Amazon Redshift
Amazon S3
Apache Cassandra
Azure Blob Storage
Azure Cosmos DB
Dropbox
HPE Ezmeral Data Fabric
IBM Cloud Kubernetes Service
IBM Datacap
IBM Db2
Integrations
Amazon Redshift
Amazon S3
Apache Cassandra
Azure Blob Storage
Azure Cosmos DB
Dropbox
HPE Ezmeral Data Fabric
IBM Cloud Kubernetes Service
IBM Datacap
IBM Db2
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$5000
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/data-shield
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/darkshield
Product Features
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata
Product Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics