See how IBM Guardium Data Protection ensures 360 data protection.
Use Cases and Deployment Scope
IBM Guardium Data Protection and Vulnerability Assessment has helped me gain visibility into who, how, where, when, and in what ways sensitive data is being accessed within the organization. Usually, our sensitive data is stored in relational databases and non-relational, storage systems with unstructured sensitive data. Being able to discover vulnerabilities that could impact sensitive data has been another huge achievement. This has allowed us to understand the level of risk in accessing sensitive data. We have also been able to identify and trace all operations of database administrators and users who have access to sensitive data.
Pros
- It allows us to discover sensitive data, where it is located, and within which repository it is located.
- It allows us to have visibility and audit trails of all user interactions with sensitive data repositories in real time.
- It helps us build and deliver the required regulatory compliance reports much more quickly.
- It allows us to create policies for the separation of roles and functions within access to sensitive data.
- It allows us to investigate incidents with the help of analytics, behavioral, and artificial intelligence engines that analyze user behavior to detect variations and identify risks.
Cons
- Allow viewing user entitlement reports graphically or through dashboards.
- Allow integration with Watson.X Orchestrate and Watson.X Governance to integrate analytics on data usage, risk, and usability, possibly integrating with LLM models or AI Agents.
- It would be interesting if GDP could uncover Shadow Data as well.
Likelihood to Recommend
IBM Guardium DP is suitable for monitoring, auditing, data discovery, vulnerability analysis, and risk detection and investigation in relational and non-relational databases, cloud database services, indexed databases, and non-relational databases as well. IBM Guardium DPR is appropriate for supporting the process of detecting anomalous behavior in accessing sensitive data, helping to optimize the work of cybersecurity analysts or data team analysts by providing the data officer within our organization with insight into compromised users, compromised databases, or file servers containing sensitive data.