{"id":43287763,"url":"https://github.com/ethanolivertroy/awesome-grc-ai","last_synced_at":"2026-02-01T18:03:56.007Z","repository":{"id":334940063,"uuid":"1142774987","full_name":"ethanolivertroy/awesome-grc-ai","owner":"ethanolivertroy","description":"Curated list of AI + GRC resources: AI governance frameworks and AI-powered compliance tools","archived":false,"fork":false,"pushed_at":"2026-01-27T16:46:21.000Z","size":122,"stargazers_count":6,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-01-28T03:04:44.826Z","etag":null,"topics":["ai-governance","awesome","awesome-list","compliance","grc"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ethanolivertroy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-01-26T20:56:06.000Z","updated_at":"2026-01-27T20:03:15.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/ethanolivertroy/awesome-grc-ai","commit_stats":null,"previous_names":["ethanolivertroy/awesome-grc-ai"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/ethanolivertroy/awesome-grc-ai","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ethanolivertroy%2Fawesome-grc-ai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ethanolivertroy%2Fawesome-grc-ai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ethanolivertroy%2Fawesome-grc-ai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ethanolivertroy%2Fawesome-grc-ai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ethanolivertroy","download_url":"https://codeload.github.com/ethanolivertroy/awesome-grc-ai/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ethanolivertroy%2Fawesome-grc-ai/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28984846,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-01T17:52:09.146Z","status":"ssl_error","status_checked_at":"2026-02-01T17:49:53.529Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-governance","awesome","awesome-list","compliance","grc"],"created_at":"2026-02-01T18:03:55.951Z","updated_at":"2026-02-01T18:03:55.997Z","avatar_url":"https://github.com/ethanolivertroy.png","language":"Python","funding_links":[],"categories":["Other Lists"],"sub_categories":["TeX Lists"],"readme":"# Awesome AI + GRC [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\n\n\u003e Curated list of resources at the intersection of AI and Governance, Risk, and Compliance (GRC). Includes frameworks for governing AI systems and AI-powered tools for GRC automation.\n\n## Contents\n\n- [AI-Powered GRC Tools](#ai-powered-grc-tools)\n- [AI Governance Frameworks](#ai-governance-frameworks)\n- [Training and Certifications](#training-and-certifications)\n- [Prompts](#prompts)\n- [Templates](#templates)\n- [Scripts](#scripts)\n\n## AI-Powered GRC Tools\n\n### Compliance Automation\n\n- [Drata](https://drata.com) - Automated compliance platform with AI-powered security questionnaire responses and real-time monitoring for SOC 2, ISO 27001, and HIPAA.\n- [Vanta](https://vanta.com) - Lightweight compliance automation for startups supporting 30+ frameworks with evidence collection and monitoring.\n- [Secureframe](https://secureframe.com) - Compliance automation with high-touch guidance for complex multi-framework environments.\n- [Sprinto](https://sprinto.com) - AI-driven compliance automation platform with risk-based prioritization and continuous control monitoring.\n- [Thoropass](https://thoropass.com) - End-to-end compliance platform combining automation software with auditor services.\n\n### AI Audit Tools\n\n- [AuditBoard](https://auditboard.com) - Connected risk platform with AI-powered audit management, SOX compliance, and risk assessment.\n- [Workiva](https://workiva.com) - Cloud platform for audit, risk, and compliance with AI-assisted document analysis and reporting.\n- [MindBridge](https://mindbridge.ai) - AI-powered financial audit analytics detecting anomalies and risks in transactional data.\n\n### Risk Assessment\n\n- [LogicGate](https://logicgate.com) - Risk Cloud platform with AI-driven risk quantification and automated control assessments.\n- [Resolver](https://resolver.com) - Integrated risk intelligence platform with AI-powered risk correlation and predictive analytics.\n- [ServiceNow GRC](https://servicenow.com/products/governance-risk-compliance.html) - Enterprise GRC with AI-driven risk insights and automated policy management.\n\n### LLM Integrations\n\n- [Claude for Enterprise](https://anthropic.com/claude) - AI assistant for policy analysis, compliance document review, and risk assessment workflows.\n- [Microsoft Copilot for Security](https://microsoft.com/security/business/ai-machine-learning/microsoft-copilot-security) - AI-powered security operations with threat intelligence and compliance guidance.\n- [ChatGPT Enterprise](https://openai.com/enterprise) - Secure AI assistant for GRC document analysis, policy drafting, and audit preparation.\n\n## AI Governance Frameworks\n\n### Frameworks and Standards\n\n- [NIST AI Risk Management Framework](https://nist.gov/itl/ai-risk-management-framework) - Voluntary US framework for identifying, assessing, and mitigating AI risks with four core functions (Govern, Map, Measure, Manage).\n- [EU AI Act](https://artificialintelligenceact.eu) - European regulation establishing risk-based AI requirements with prohibited practices, high-risk obligations, and transparency rules.\n- [ISO/IEC 42001](https://iso.org/standard/81230.html) - International standard for AI Management Systems (AIMS) providing certification framework for responsible AI governance.\n- [OECD AI Principles](https://oecd.ai/en/ai-principles) - International guidelines for trustworthy AI covering human-centered values, transparency, and accountability.\n- [Singapore Model AI Governance Framework](https://pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework) - Practical guidance for deploying AI responsibly with implementation examples.\n\n### Responsible AI\n\n- [Microsoft Responsible AI](https://microsoft.com/ai/responsible-ai) - Principles, tools, and practices for building AI systems that are fair, reliable, and transparent.\n- [Google AI Principles](https://ai.google/responsibility/principles) - Framework for developing AI applications that are socially beneficial, avoid bias, and maintain accountability.\n- [Partnership on AI](https://partnershiponai.org) - Multi-stakeholder organization developing best practices for responsible AI development and deployment.\n- [AI Ethics Lab](https://aiethicslab.com) - Research and resources on ethical AI development, algorithmic fairness, and AI governance.\n\n### Model Governance\n\n- [MLflow](https://mlflow.org) - Open-source platform for ML lifecycle management including experiment tracking, model registry, and deployment.\n- [Weights \u0026 Biases](https://wandb.ai) - ML experiment tracking and model management platform with versioning, lineage, and collaboration features.\n- [Fiddler AI](https://fiddler.ai) - Model performance monitoring and explainability platform for detecting drift, bias, and compliance issues.\n- [Arthur AI](https://arthur.ai) - ML monitoring platform providing model performance, fairness, and explainability insights for production systems.\n\n### Data Governance for AI\n\n- [Collibra](https://collibra.com) - Data intelligence platform with AI-assisted data cataloging, lineage tracking, and governance automation.\n- [Alation](https://alation.com) - Data catalog with ML-powered discovery, governance, and compliance for AI/ML data pipelines.\n- [Immuta](https://immuta.com) - Data access control platform with policy-based governance for sensitive data used in ML training.\n- [DataRobot MLOps](https://datarobot.com/platform/mlops) - End-to-end ML operations with model governance, monitoring, and compliance tracking.\n\n## Training and Certifications\n\n### Certifications\n\n- [IAPP AIGP](https://iapp.org/certify/aigp) - Artificial Intelligence Governance Professional certification covering AI governance frameworks, risk management, and ethics.\n- [ISACA CGEIT](https://isaca.org/credentialing/cgeit) - Certified in Governance of Enterprise IT for professionals managing AI governance within enterprise IT.\n- [CRISC](https://isaca.org/credentialing/crisc) - Certified in Risk and Information Systems Control for IT risk professionals managing AI-related risks.\n- [CISA](https://isaca.org/credentialing/cisa) - Certified Information Systems Auditor for auditing AI systems and automated controls.\n- [CompTIA Security+](https://comptia.org/certifications/security) - Foundational cybersecurity certification covering risk management and compliance fundamentals.\n\n### AI Ethics and Governance Courses\n\n- [MIT AI Ethics and Governance](https://professional.mit.edu/course-catalog/artificial-intelligence-implications-business-strategy) - Executive education on AI strategy, ethics, and governance implications.\n- [Stanford HAI Courses](https://hai.stanford.edu/education) - Human-Centered AI Institute courses on responsible AI development and policy.\n- [Coursera AI Ethics](https://coursera.org/learn/ai-ethics) - Free course covering ethical frameworks for AI decision-making and bias mitigation.\n- [edX AI Governance](https://edx.org/learn/artificial-intelligence) - University-backed courses on AI regulation, policy, and governance frameworks.\n\n### GRC Fundamentals\n\n- [SANS Security Awareness](https://sans.org/security-awareness-training) - Security training programs covering risk management, compliance, and security controls.\n- [LinkedIn Learning GRC Path](https://linkedin.com/learning/topics/governance-risk-and-compliance) - Curated learning path for GRC fundamentals including risk assessment and audit.\n- [Pluralsight Security Compliance](https://pluralsight.com/browse/information-cyber-security/compliance) - Technical compliance training for security professionals entering GRC.\n- [ISACA Learning](https://isaca.org/training-and-events) - Professional development in audit, risk, governance, and cybersecurity.\n\n## Prompts\n\nReady-to-use Claude prompts for GRC compliance workflows. See the [`prompts/`](prompts/) directory for usage instructions.\n\n**Compliance Frameworks:**\n- SOC 2 Audit Preparation - Generate timeline-based audit preparation checklist\n- PCI DSS Gap Analysis - Identify compliance gaps with risk-prioritized remediation\n- FedRAMP Compliance Assessment - Assess authorization readiness with control gap analysis\n- FISMA Control Evaluation - Evaluate NIST 800-53 control implementation status\n\n**AI Governance:**\n- NIST AI RMF Risk Assessment - Comprehensive AI risk assessment across GOVERN, MAP, MEASURE, MANAGE functions\n\n## Templates\n\nCustomizable policy templates for AI governance. See the [`templates/`](templates/) directory for customization instructions.\n\n- AI Acceptable Use Policy - Guidelines for acceptable use of AI technologies (NIST AI RMF, ISO 42001)\n- AI Risk Assessment Framework - Structured framework for identifying and mitigating AI risks (NIST AI RMF)\n- Model Development Lifecycle Standard - Governance checkpoints for ML model development (MLOps, ISO 42001)\n\n## Scripts\n\nAutomation scripts for compliance evidence collection. See the [`scripts/`](scripts/) directory for prerequisites and usage.\n\n- AWS Evidence Collector (Python) - Collect SOC 2 compliance evidence from AWS\n- GitHub SOC 2 Checker (Bash) - Audit GitHub organization settings against SOC 2 requirements\n- Template Generator (Bash) - Generate customized policy documents from templates\n\n## Contributing\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to contribute.\n\n---\n\nTo the extent possible under law, the authors have waived all copyright and related rights to this work. See [LICENSE](LICENSE) for details (CC0-1.0).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fethanolivertroy%2Fawesome-grc-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fethanolivertroy%2Fawesome-grc-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fethanolivertroy%2Fawesome-grc-ai/lists"}