The boards

Forcepoint DSPM comes with 22 preconfigured boards out-of-the-box. Here are brief descriptions of the use cases they cover.

  • Financial Data At Risk: Focuses on identifying and mitigating risks associated with financial data, essential for preventing fraud and ensuring regulatory compliance.
  • Data Exposure: See potential data exposure risks, including ransomware impact, sensitive data distribution, and high-risk data locations across various assets and attributes.
  • Classification Overview: Provides a snapshot of data classification across the organization, aiding in the identification of sensitive data and ensuring compliance with data protection regulations.
  • Key Data Overview: Highlights critical data assets within the organization, enabling focused protection efforts on the most valuable and sensitive information.
  • Cataloged Files: Offers a detailed inventory of all cataloged files. These are files that have not passed through the ML pipeline. This helps identify any data issues.
  • Shadow Data: Reveals unmanaged or unknown data residing outside of controlled environments, reducing risks associated with data sprawl and exposure.
  • HR Data At Risk: Highlights vulnerabilities within human resources data, protecting sensitive employee information from breaches and unauthorized access.
  • Data Risk Assessment: Offers a detailed view of data risk factors, highlighting high-risk files, ownership gaps, and critical exposures to aid in mitigating security threats and ensuring compliance.
  • Unprotected Data: Identifies data lacking adequate security controls, allowing for quick remediation and the strengthening of data protection measures.
  • Data Ownership: Clarifies data stewardship within the organization, promoting accountability and facilitating effective data management and security practices.
  • Duplicate Files: Identifies and addresses issues of data redundancy, improving storage efficiency and data management practices.
  • Data Risk Management: Identify and assess risks related to PHI, medical data, and PII exposure across various files and categories using the Data Risk Management dashboard.
  • Ransomware Exposure: Evaluates the organization’s vulnerability to ransomware attacks, facilitating proactive measures to protect critical data assets.
  • ROT Data: Identifies redundant, obsolete, or trivial (ROT) data that clutters systems and poses unnecessary risk, enabling effective data clean-up and policy enforcement.
  • Executive Data at Risk: Targets the specific data risks associated with executive-level information, ensuring high-profile data receives adequate security measures.
  • High Risk Users: Identifies users with excessive permissions or abnormal access patterns, enabling organizations to mitigate insider threats and enforce least privilege access policies.
  • Classification Distribution: This dashboard provides a comprehensive overview of data classification, distribution, and storage locations across different sensitivity levels and data sources.
  • Scan Status: The Scan Status board provides real-time insights into the progress of ongoing data scans, allowing organizations to monitor the coverage and completeness of their data discovery and security efforts.
  • Gen-AI Oversight: Monitors GPT deployments and user activities, providing insights into file uploads, chat usage, and potential risks associated with AI-driven operations.
  • Data Compression Schedules: Provides insights into data compression activities, optimizing storage utilization and enhancing data management efficiency.
  • Data Incidents: Summarizes past and present data security incidents, providing insights from past incidents and enhancing organizational resilience against future threats.
  • Gen-AI Readiness: Evaluates a company's readiness for adopting GenAI by analyzing the availability and sensitivity of data that could be used for AI training or RAG applications.

While the default boards provide excellent coverage for the most frequent data security and compliance use cases, it can be beneficial to edit some of the input parameters to suit some specific customer requirements.

The interface for editing the boards' widgets is designed for ease of use, incorporating GQL (Getvisibility Query Language) and graphical elements.

See the GQL Reference Guide for full information.