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Secure Controls Framework
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Operational Management
I-DM-A: Stream A
I-DM-B: Stream B
Maturity Level 1
Maturity Level 2
Maturity Level 3
I-DM-A-1
I-DM-A-1: Are defect tracking processes informally applied or inconsistently documented?
Defect Taxonomy:
Define and adopt a standard taxonomy for AI defects and failure modes.
Basic Tracking:
Begin tracking model behavior issues and performance degradation.
Initial Documentation:
Log known issues and defects manually for future reference.
0
1
2
3
Description
Defect Taxonomy:
Define and adopt a standard taxonomy for AI defects and failure modes.
Basic Tracking:
Begin tracking model behavior issues and performance degradation.
Initial Documentation:
Log known issues and defects manually for future reference.
I-DM-A-2
I-DM-A-2: Are basic technical methods occasionally used to identify and resolve defects?
Defect Prioritization:
Score defects based on impact and severity.
Workflow Integration:
Embed defect tracking into QA and release processes.
Defect Analytics:
Analyze trends and patterns across logged AI defects.
0
1
2
3
Description
Defect Prioritization:
Score defects based on impact and severity.
Workflow Integration:
Embed defect tracking into QA and release processes.
Defect Analytics:
Analyze trends and patterns across logged AI defects.
I-DM-A-3
I-DM-A-3: Are defect tracking processes systematically implemented and regularly documented?
Root Cause Analysis:
Investigate failures at data, training, and architecture levels.
Knowledge Sharing:
Document and share lessons learned in a knowledge base.
Cross-Functional Review:
Form teams across roles to analyze complex failures.
0
1
2
3
Description
Root Cause Analysis:
Investigate failures at data, training, and architecture levels.
Knowledge Sharing:
Document and share lessons learned in a knowledge base.
Cross-Functional Review:
Form teams across roles to analyze complex failures.