Ensure that access to Machine Learning Development Environment (MLDE) resources is strictly defined and controlled. Only authorized users with appropriate permissions can access these environments, mitigating the risk of unauthorized access, data leakage, or service disruption.
AI/ML / Mlde / Controls / DEV
Define Access Mode for ML Development Environments
CCC.MLDE.CN01 · Access
Related Capabilities
| ID | Title | Description |
|---|---|---|
| CCC.Core.CP06 | Access Control | The service automatically enforces user configurations to restrict or allow access to a specific component or a child resource based on factors such as user identities, roles, groups, or attributes. |
| CCC.Core.CP29 | Active Ingestion | While running, the service itself can fetch or reach out to some other service or external source to get data, inputs or commands for the service to process or operate on. |
Related Threats
| ID | Title | Description |
|---|---|---|
| CCC.MLDE.TH01 | CCC.MLDE.TH01 | |
| CCC.Core.TH01 | Access is Granted to Unauthorized Users | Logic designed to give different permissions to different entities may be misconfigured or manipulated, allowing unauthorized entities to access restricted parts of the service, its data, or its child resources. This could result in a loss of data confidentiality or tolerance of unauthorized actions which impact the integrity and availability of resources and data. |
Assessment Requirements
| ID | Text | Applicability |
|---|---|---|
| CCC.MLDE.CN01.AR01 | Verify that only authorized users can access MLDE resources, and that access modes are properly defined and enforced. | tlp-red, tlp-amber, tlp-green, tlp-clear |
Guideline Mappings
| Framework | ID | Remarks |
|---|---|---|
| NIST-CSF | PR.AC-3 | |
| ISO_27001 | 2013 A.9.1.1 | |
| ISO_27001 | 2013 A.9.2.1 | |
| NIST_800_53 | AC-2 | |
| NIST_800_53 | AC-3 | |
| CCM | IAM-01 | |
| CCM | IAM-02 |