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Basic ML Workflow Diagram

Reading time - 1.2 min.

Basic ML Workflow Diagram

 

A typical machine learning workflow involves several key stages:

  • Users are represented as individuals or icons.
  • Devices are depicted as laptops, smartphones, or generic device shapes.
  • Applications are shown as software icons or cloud-based services.
  • Data is symbolized by a database or cloud storage icon.
  • Network is represented as a cloud or network diagram.
  • Security Controls are depicted as shields or lock icons, potentially with labels like “Authentication,” “Authorization,” “Encryption.”

Key Elements to Highlight

  • Continuous Verification: Indicate that authentication and authorization occur for every access request.
  • Micro-Segmentation: Show how networks are divided into smaller segments to isolate resources.
  • Least Privilege Access: Illustrate the concept of granting only necessary permissions.
  • Data Encryption: Emphasize the protection of data at rest and in transit.
  • Identity and Access Management (IAM): Represent the system managing user identities and access controls.

Additional Considerations

  • Zero Trust is a journey, not a destination. Consider including elements that show evolution and adaptation.
  • Visualization tools: Use diagramming software to create professional-looking diagrams.
  • Clarity and simplicity: Avoid overwhelming the diagram with too much detail.

Would you like to focus on a specific aspect of Zero Trust architecture, such as identity and access management or data protection?

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