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4 templates · ERD

Cybersecurity Platform Database Schema (ERD) Examples

Database schemas are the backbone of cybersecurity platforms, organizing data on vulnerabilities, threats, events, and assets. This collection showcases ER diagrams for common cybersecurity scenarios—from managing vulnerabilities to correlating security events—helping architects, developers, and security engineers design robust data models.

Standard Chen 1976 / Everest 1976 (crow's foot)Engine schematex-erdExport SVG · PNG · PDF
How to

How to use an erd template.

  1. 01Identify key entities

    Determine the main objects in your cybersecurity platform, such as Assets, Vulnerabilities, Threats, Incidents, Alerts, and Users.

  2. 02Define relationships

    Map how entities relate—for example, an Asset can have many Vulnerabilities, and an Incident may originate from a Threat.

  3. 03Add attributes and keys

    Specify fields for each entity (e.g., severity, detection date, CVSS score) and define primary/foreign keys to enforce integrity.

  4. 04Refine and export

    Use the generator to fine-tune your diagram, then export as an image or embed in documentation for your team.

FAQ

Questions about erd templates

What entities are commonly included in a cybersecurity platform database schema?

Typical entities include Assets (devices, applications), Vulnerabilities (CVEs, weaknesses), Threats (attack patterns), Incidents (security events), Alerts (detections), and Users (analysts, admins). Additional entities may cover remediation tasks, scanners, or integration logs.

How do I model relationships between vulnerabilities and assets?

Use a many-to-many relationship via a join table (e.g., AssetVulnerability) that includes context like discovery date, severity override, and mitigation status. This allows each asset to have multiple vulnerabilities and each vulnerability to affect multiple assets.

Should I normalize my cybersecurity database schema?

Normalization is recommended to maintain data integrity and avoid redundancy, especially for master data (assets, vulnerabilities). However, for high-velocity event data (like SIEM logs), a partially denormalized structure or a NoSQL approach may be more performant.

How to handle schema changes for evolving threat intelligence feeds?

Design for flexibility: use an entity-attribute-value (EAV) pattern for dynamic properties, store raw feed data in a JSON column, or maintain a separate 'custom attributes' table. Version your schema and plan regular reviews to align with new data sources.

Can I use the generated ERD for documentation?

Absolutely. The generator produces clear, editable diagrams that you can export as PNG, SVG, or PDF. Embed them in architecture documents, security playbooks, or onboarding guides to align your team on the data model.