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What is IBM Guardium DDR?

Safeguarding enterprise data comes with a myriad of challenges, particularly when it is scattered across various cloud platforms, applications, and different geographical regions. The growing volume of data within cloud systems makes it increasingly difficult to pinpoint the locations of sensitive information and evaluate the corresponding security risks. Concurrently, data remains the most valuable asset for companies, rendering it an attractive target for cybercriminals. The IBM Guardium Data Security Center addresses these challenges through its Guardium DDR, which adopts an all-encompassing strategy focused on the early identification of risks, the prioritization of potential threats, and the safeguarding of data whether it is in transit or stored. Utilizing advanced analytics, organizations can detect unusual or potentially dangerous user activities, providing a thorough contextual understanding of their data landscape. By integrating all relevant data points during risk incidents, organizations can acquire a comprehensive view of their data security posture, clarifying the who, where, when, why, and how of each threat, enriched with in-depth context and categorization. This layered comprehension not only enhances awareness but also equips businesses with the tools necessary to respond promptly and effectively to emerging security threats, thereby strengthening their overall data protection strategy.

What is FedEHR?

By redefining the traditional data value chain, we provide solutions that prioritize risk awareness when it comes to de-identifying sensitive data, facilitating its further processing. Whether you opt for on-premises management to maintain total control or choose a secure external service, FedEHR stands as your comprehensive solution that adheres to GDPR and HIPAA standards. As technological advancements progress, the characteristics of our data evolve, with a remarkable increase in IoT devices producing extensive amounts of information, reflecting our deeply interconnected and pervasive society. This evolution brings forth critical questions regarding the concept of our "quantified self." Yet, what are the broader implications and potential hazards associated with data sharing? Who has the right to access this data, and for what ends? What is the actual value of data, and who claims ownership over it? Although this wealth of personal and sensitive information offers remarkable opportunities for individual insight, it also creates substantial challenges for societies aiming to establish effective governance frameworks that can manage this data responsibly. As we confront these intricate challenges, the necessity for transparency and accountability in data management becomes increasingly vital, highlighting the need for ongoing conversations about ethical data practices.

Media

Media

Integrations Supported

IBM Guardium

Integrations Supported

IBM Guardium

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/guardium-data-detection-response

Company Facts

Organization Name

GNUBILA

Company Location

France

Company Website

gnubila.fr/

Categories and Features

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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