Reading time - 1.2 min.
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?
Visit Cloud-23.com today, to learn more about our Cloud Related Information.
Feel free to reach us out at [email protected]