IBM - Guardium Data Risk Manager

Summary:

IBM Guardium Data Risk Manager is an advanced data security and risk assessment solution designed to provide organizations with a comprehensive view of their data security posture. The solution helps enterprises identify, assess, and mitigate risks associated with sensitive data across a variety of environments, including on-premises and cloud databases, big data platforms, and file systems. Guardium Data Risk Manager is integral for businesses that need to protect sensitive information while complying with regulatory requirements. It offers deep visibility into where sensitive data resides, how it's accessed, and how to protect it, thereby enabling organizations to make informed decisions about data security and compliance.

Key Features:

1. Data Discovery and Classification: Automatically discovers and classifies sensitive data across the enterprise’s data landscape.
2. Risk Assessment and Analysis: Evaluates and prioritizes risks to sensitive data, helping to focus on critical areas that need attention.
3. Compliance Management: Assists in managing compliance with various regulatory standards, providing tools for audit and reporting.
4. Data Activity Monitoring: Monitors and audits data access and activities to identify suspicious behavior and potential threats.
5. Policy Management and Enforcement: Allows the creation and enforcement of data security policies to ensure compliance and mitigate risks.

Partner Link:

IBM Security Guardium Data Risk Manager

IBM Data Risk Manager, formerly known as Agile 3 Solutions, empowers C-suite executives to assess risks through a dynamic data risk control center.

www.ibm.com

Tangible Benefits:

1. Enhanced Data Security and Reduced Incident Rates:
• Quantification Path: Measure the reduction in data-related security incidents and breaches before and after implementing Guardium Data Risk Manager. Assess improvements in threat detection and response.
2. Cost Savings from Improved Compliance and Reduced Fines:
• Quantification Path: Calculate cost savings from streamlined compliance processes, including reduced efforts in audit preparation and potential savings from avoiding non-compliance fines.
3. Operational Efficiency in Data Security Management:
• Quantification Path: Evaluate the time and resources saved in managing data security, including the efficiency gains from automated data discovery, classification, and risk assessment processes.