Add operational README sections, governance files, and practitioner templates#6
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Reviewed commit: b1476087cd
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| - name: Run baseline security scan (example) | ||
| run: | | ||
| mkdir -p reports | ||
| python -m garak --model_type openai --model_name gpt-4o-mini --report_prefix reports/garak || true |
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Fail workflow when baseline security scan errors
The scan step appends || true, so this job reports success even when garak fails (e.g., missing OPENAI_API_KEY on fork-based pull_request runs, CLI/runtime errors, or scanner failures). Since the workflow remains green and upload-artifact can still pass with no report files, contributors can merge changes without an actual regression scan, which defeats this workflow’s purpose as a security regression check.
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Motivation
Description
README.mdwith implementation-focused sections and updated the table of contents to include:Implementation Quickstart (30/60/90),Evaluation Harness,Agentic AI Attack Trees + Controls Mapping,AI Harm Severity and Triage Model,Secure SDLC Integration Artifacts,Defensive Architecture Patterns,Multilingual & Cultural Safety Playbook,Data Governance for Red Teaming,Metrics That Matter,Purple Team Operations,Common Implementation Pitfalls,Case Study Quality Bar,Model & System Cards,Source Hygiene & Update Governance, andPractitioner Appendices.templates/:threat-modeling-workshop.md,ai-security-pr-checklist.md,rules-of-engagement-template.md,vulnerability-report-template.md,test-case-library-starter.md,stakeholder-readout-outline.md,model-system-security-card.md, andcase-study-template.mdto standardize workshops, PR checks, findings, and reporting.CHANGELOG.mdfor versioned change tracking andresources-validation.mdto record and refresh external reference validation and evidence tags.