DataSunrise Database Security is a comprehensive solution that provides real-time protection for databases against internal and external threats. Its primary use case is Dynamic Masking, which includes masking on the go, firewalling, and auditing. It is highly customizable and eliminates the need to build database copies.
The solution also has built-in algorithms or machine learning that understands user behavior and patterns to apply policies. With DataSunrise Database Security, organizations can ensure their sensitive data's confidentiality, integrity, and availability.
IBM Security Guardium Data Protection offers automatic discovery and classification of sensitive data, real-time monitoring, and advanced analytics to identify unusual activities around data.
IBM Security Guardium Data Protection is designed to safeguard sensitive data across enterprises with real-time activity monitoring and comprehensive security features. Its capabilities include data discovery, classification, and compliance automation with pre-built templates for regulations like PCI, SOX, HIPAA, and CCPA. Supporting a variety of platforms, it facilitates seamless monitoring, making it a valuable asset for diverse environments in maintaining data security and compliance.
What are the key features?
- Real-Time Monitoring: Provides alerts for unauthorized activities.
- Data Masking: Protects data through masking techniques.
- Access Control: Ensures only authorized users gain access.
- Query Rewriting: Alters queries to maintain data integrity.
- Platform Support: Monitors across multiple environments.
Why consider this for ROI?
- Ease of Deployment: Simplifies the setup process for enterprises.
- Robust Reporting: Enhances transparency through detailed audit trails.
- Compliance Automation: Streamlines compliance with regulatory requirements.
- Risk Management: Identifies and mitigates potential risks efficiently.
Industries like banking and finance utilize IBM Security Guardium Data Protection to enhance database security and compliance efforts. Enterprises employ it to detect incidents and manage vulnerabilities, focusing on protecting customer data and maintaining privacy standards. The technology aids in incident detection and supports adherence to security regulations.
