Summary:
IBM Guardium Discover & Classify is a focused solution within IBM's broader Guardium data security portfolio, specifically designed to discover, classify, and assess sensitive data across various data sources in an organization. This solution is essential for enterprises that need to understand and manage their data landscape, particularly when dealing with large volumes of unstructured and structured data across diverse environments. Guardium Discover & Classify helps organizations identify where their sensitive data resides, classify it according to its sensitivity level, and assess risks associated with it. This is crucial for ensuring compliance with data protection regulations, enhancing data security, and making informed decisions about data management.
Key Features:
- Automated Data Discovery: Scans databases, data warehouses, and big data environments to identify where sensitive data resides.
- Data Classification: Classifies data based on its sensitivity and type, aiding in compliance and risk management.
- Risk Assessment Tools: Evaluates and reports on the risks associated with stored data, including potential exposure or non-compliance issues.
- Compliance Support: Supports various regulatory compliance requirements by identifying and classifying regulated data.
- Integration with Security Policies: Integrates discovered and classified data with existing data security policies for consistent enforcement.
Partner Link:
Tangible Benefits:
- Enhanced Data Protection and Reduced Breach Risk:
- Quantification Path: Measure the reduction in data breaches or exposure incidents related to sensitive data before and after implementing the solution. Assess improvements in data protection and risk mitigation.
- Cost Savings from Streamlined Compliance Efforts:
- Quantification Path: Calculate the cost savings associated with streamlined compliance processes, including reduced time and resources spent on data discovery, classification, and risk assessment for regulatory reporting.
- Operational Efficiency in Data Management:
- Quantification Path: Evaluate the operational efficiency gains in managing sensitive data, such as time saved in identifying, classifying, and applying security controls to sensitive data.