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IBM Guardium

Score9.2 out of 10

156 Reviews and Ratings

Top Performing Features

0%

Security Posture Assessment & Risk Prioritization

Identifies structural security drift and misconfiguration and flags vulnerabilities based on the sensitivity of exposed data.

Cat avg: 9.1

0%

Data Access & Entitlement Mapping

Analyzes IAM policies, roles, and Access Control Lists (ACLs) to determine who or what has read/write access to sensitive datasets.

Cat avg: 8.2

0%

Non-Intrusive, Agentless Scanning

Agentless architecture for scanning without degrading database performance or violating host boundaries.

Cat avg: 8.2

0%

Data Lineage and Flow Tracking

Visually maps the lifecycle of sensitive data—tracking its origin, where it has been copied, and its destination pipelines.

Cat avg: 8.2

Worst Performing Features

0%

Shadow & Dark Data Identification

Uncovers undocumented database or forgotten files that exist outside of official IT/security inventories.

Cat avg: 7.3

0%

AI-Ready Security Guardrails

Manages AI pipeline risk to ensure sensitive data is masked or blocked before it can be ingested by LLMs.

Cat avg: 7.3

0%

Automated Remediation Workflows

Automated remediation to fix risky permissions, remove stale access, or lock down exposed buckets.

Cat avg: 8.2

IBM Guardium Features from Reviews

Data Security Posture Management (DSPM)

The defining capabilities of Data Security Posture Management (DSPM) software, broken into core (must-have) and best-of-breed (advanced) features.

8.10%
  • Shadow & Dark Data Identification

    Uncovers undocumented database or forgotten files that exist outside of official IT/security inventories.

    Category average: 7.3

  • Data Access & Entitlement Mapping

    Analyzes IAM policies, roles, and Access Control Lists (ACLs) to determine who or what has read/write access to sensitive datasets.

    Category average: 8.2

  • Security Posture Assessment & Risk Prioritization

    Identifies structural security drift and misconfiguration and flags vulnerabilities based on the sensitivity of exposed data.

    Category average: 9.1

  • Non-Intrusive, Agentless Scanning

    Agentless architecture for scanning without degrading database performance or violating host boundaries.

    Category average: 8.2

  • Data Lineage and Flow Tracking

    Visually maps the lifecycle of sensitive data—tracking its origin, where it has been copied, and its destination pipelines.

    Category average: 8.2

  • Automated Remediation Workflows

    Automated remediation to fix risky permissions, remove stale access, or lock down exposed buckets.

    Category average: 8.2

  • Real-Time Data Detection and Response (DDR)

    Integrates DDR to provide real-time monitoring of data activity, flagging anomalous behaviors.

    Category average: 8.2

  • AI-Ready Security Guardrails

    Manages AI pipeline risk to ensure sensitive data is masked or blocked before it can be ingested by LLMs.

    Category average: 7.3

  • Automated Compliance Mapping

    Automatically maps data risks directly to major regulatory frameworks, with real-time audit logs and compliance posture scores.

    Category average: 8.2