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ease
features
design
support

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Description

Safeguard your file and database information from potential abuse while ensuring compliance with both industry standards and governmental regulations by utilizing this comprehensive suite of integrated encryption solutions. IBM Guardium Data Encryption offers a cohesive set of products that share a unified infrastructure. These scalable solutions incorporate encryption, tokenization, data masking, and key management features, essential for protecting and regulating access to databases, files, and containers across hybrid multicloud environments, thereby securing assets located in cloud, virtual, big data, and on-premises settings. By effectively encrypting file and database data through functionalities like tokenization, data masking, and key rotation, organizations can successfully navigate compliance with various regulations, including GDPR, CCPA, PCI DSS, and HIPAA. Moreover, the extensive capabilities of Guardium Data Encryption—including data access audit logging and comprehensive key management—further assist organizations in meeting critical compliance requirements, ensuring that sensitive data remains protected at all times. Ultimately, implementing such robust encryption measures not only enhances security but also builds trust among stakeholders.

Description

We assist developers in addressing critical global challenges by maximizing the potential of sensitive data while minimizing associated risks. This motivation drives us to create privacy-focused tools for machine learning and analytics tailored for the evolving landscape of distributed data. Various forms of data are continuously produced and kept in cloud environments, on-site locations, and increasingly at the network's edge. The financial burden of de-identifying, transferring, centrally storing, and managing vast amounts of data can often be overwhelming. Regulations such as HIPAA, GDPR, PIPEDA, and CCPA impose restrictions on the ways in which data can be aggregated, particularly across different regions. By utilizing federated learning and analytics, we ensure that only model parameters are transmitted from each private server, allowing data custodians to maintain complete control over their information. By leveraging this innovative approach, businesses can enhance their offerings to existing clients through the development of new features that tap into the shared insights derived from customer data. This way, organizations can not only comply with regulations but also drive growth in a secure and efficient manner.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Cloud
IBM Guardium
Microsoft 365

Integrations

IBM Cloud
IBM Guardium
Microsoft 365

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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/products/guardium-data-encryption

Vendor Details

Company Name

integrate.ai

Founded

2017

Country

Canada

Website

www.integrate.ai/

Product Features

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

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