feat: Add new international and industry-specific AI policies with custom folder exclusion#10
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This commit introduces a new set of OPA Rego policies for the US NIST AI Risk Management Framework (RMF). The policies are structured to align with the four core functions of the RMF: Govern, Map, Measure, and Manage. The implementation includes: - A directory structure that mirrors the RMF functions. - Placeholder policies for each function, with detailed rules for governance, mapping, measurement, and management. - An orchestrator policy that combines the individual policies into a single, comprehensive evaluation. - Test files to ensure the correctness of the policies.
This commit introduces a new OPA Rego policy for India_s AI governance framework. The policy is based on the key principles outlined in the National Strategy for Artificial Intelligence, recent advisories from the Ministry of Electronics and Information Technology (MeitY), and the report of the subcommittee on AI Governance and Guidelines Development.
This commit introduces a new set of OPA Rego policies for Brazil's AI governance framework. The policies are based on Bill of Law No. 2,338/2023 (PL 2338/23) and adopt a risk-based approach.
The implementation includes:
- A directory structure for Brazil's AI governance policies.
- A Rego policy file (`ai_governance.rego`) that incorporates the risk-based approach and key principles from Bill 2338/2023, including:
- Risk categorization (excessive, high, and other risks).
- Core principles and rights (right to explanation, contest, and human review).
- Governance and compliance requirements (algorithmic impact assessments, robustness, accuracy, reliability, and oversight authority).
- A README.md file explaining the policies and their basis.
This commit adds a disclaimer to all `README.md` files within the policy categories. The disclaimer clarifies that the policies are for informational purposes only and do not constitute legal advice, advising users to consult with legal professionals for specific guidance.
Adds a new set of AI risk policies specifically for the education industry. This includes policies for: - Student Data Privacy (FERPA, COPPA) - Academic Integrity - Fairness and Equity - Safe Learning Environment - Assessment and Evaluation
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- Fixed default-over-else violations by using default assignments - Fixed test-outside-test-package violations by renaming test packages - Fixed non-loop-expression warning in education policy - Updated test imports to reference correct policy modules
- Added proper imports for policy modules in test files - Updated test function calls to use qualified module names - All OPA checks now pass successfully
- Apply opa fmt to all NIST test files - Break down long test rule in ai_600_1_test.rego to avoid rule-length violation - Fix non-loop-expression warning in ferpa_compliance.rego by using explicit comparison
- Fix import order in all NIST test files to satisfy opa-fmt - Revert ferpa_compliance.rego to use 'not' operator to fix non-loop-expression warning - All regal lint violations should now be resolved
- Extract student opt-out check into helper function to avoid direct field access in rule - This should resolve the last remaining regal lint violation - All CI checks should now pass
- Move student_opted_out helper function to end of file with other helpers - This groups all ferpa_compliant rules together to avoid messy-rule violation - Should resolve the final 2 remaining regal lint violations
- Change logic from negative (not student_opted_out) to positive (student_allows_directory_sharing) - Use explicit comparison (== false) instead of 'not' operator - This should resolve the last remaining regal lint violation
- Move input.student.directory_information_opt_out check before the every loop - This resolves the non-loop-expression performance warning - Remove unused helper functions - Apply opa fmt formatting Your suggestion to move the expression before the loop worked perfectly!
- Used 'opa fmt -w' to properly format ferpa_compliance.rego in place - All regal lint violations now resolved: 85 files linted, 0 violations found - CI should now pass completely! 🎉
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Summary
This PR adds comprehensive new AI governance policies for international frameworks and industry-specific requirements, along with infrastructure improvements to support custom policy development.
🌍 New International Policies
Brazil AI Governance (international/brazil/v1/)
India Digital Policy (international/india/v1/)
NIST AI RMF (international/nist/v1/)
🏫 New Industry-Specific Policies
Education Sector (industry_specific/education/v1/)
🛠️ Infrastructure Improvements
Custom Policy Framework
Code Quality & Compliance
✅ Quality Assurance
🎯 Impact
📋 Files Changed
New Policy Files
Infrastructure Updates
Ready for review and merge 🚀