


Find out what your peers are saying about IBM, Imperva, Oracle and others in Database Security.
| Product | Mindshare (%) |
|---|---|
| IBM Security Guardium Data Protection | 28.0% |
| Oracle Audit Vault | 10.8% |
| Trustwave DbProtect | 3.6% |
| Other | 57.6% |

| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 17 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
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?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.
Trustwave DbProtect is a security platform designed for consistent monitoring and management of enterprise databases within the data center.
Built on a centrally managed and distributed architecture, DbProtect uncovers database weaknesses. This includes configuration mistakes, identification and access control issues, missing patches, or any toxic combination of settings that could lead to escalation of privileges attacks, data leakage, denial-of-service (DoS), or unauthorized modification of data held within data stores – both relational databases and big data stores.