Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

https://github.com/ethanolivertroy/awesome-grc-ai

Curated list of AI + GRC resources: AI governance frameworks and AI-powered compliance tools
https://github.com/ethanolivertroy/awesome-grc-ai

List: awesome-grc-ai

ai-governance awesome awesome-list compliance grc

Last synced: 4 months ago
JSON representation

Curated list of AI + GRC resources: AI governance frameworks and AI-powered compliance tools

Awesome Lists containing this project

README 

          
# Awesome AI + GRC [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)



> 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.



## Contents



- [AI-Powered GRC Tools](#ai-powered-grc-tools)

- [AI Governance Frameworks](#ai-governance-frameworks)

- [Training and Certifications](#training-and-certifications)

- [Prompts](#prompts)

- [Templates](#templates)

- [Scripts](#scripts)



## AI-Powered GRC Tools



### Compliance Automation



- [Drata](https://drata.com) - Automated compliance platform with AI-powered security questionnaire responses and real-time monitoring for SOC 2, ISO 27001, and HIPAA.

- [Vanta](https://vanta.com) - Lightweight compliance automation for startups supporting 30+ frameworks with evidence collection and monitoring.

- [Secureframe](https://secureframe.com) - Compliance automation with high-touch guidance for complex multi-framework environments.

- [Sprinto](https://sprinto.com) - AI-driven compliance automation platform with risk-based prioritization and continuous control monitoring.

- [Thoropass](https://thoropass.com) - End-to-end compliance platform combining automation software with auditor services.



### AI Audit Tools



- [AuditBoard](https://auditboard.com) - Connected risk platform with AI-powered audit management, SOX compliance, and risk assessment.

- [Workiva](https://workiva.com) - Cloud platform for audit, risk, and compliance with AI-assisted document analysis and reporting.

- [MindBridge](https://mindbridge.ai) - AI-powered financial audit analytics detecting anomalies and risks in transactional data.



### Risk Assessment



- [LogicGate](https://logicgate.com) - Risk Cloud platform with AI-driven risk quantification and automated control assessments.

- [Resolver](https://resolver.com) - Integrated risk intelligence platform with AI-powered risk correlation and predictive analytics.

- [ServiceNow GRC](https://servicenow.com/products/governance-risk-compliance.html) - Enterprise GRC with AI-driven risk insights and automated policy management.



### LLM Integrations



- [Claude for Enterprise](https://anthropic.com/claude) - AI assistant for policy analysis, compliance document review, and risk assessment workflows.

- [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.

- [ChatGPT Enterprise](https://openai.com/enterprise) - Secure AI assistant for GRC document analysis, policy drafting, and audit preparation.



## AI Governance Frameworks



### Frameworks and Standards



- [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).

- [EU AI Act](https://artificialintelligenceact.eu) - European regulation establishing risk-based AI requirements with prohibited practices, high-risk obligations, and transparency rules.

- [ISO/IEC 42001](https://iso.org/standard/81230.html) - International standard for AI Management Systems (AIMS) providing certification framework for responsible AI governance.

- [OECD AI Principles](https://oecd.ai/en/ai-principles) - International guidelines for trustworthy AI covering human-centered values, transparency, and accountability.

- [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.



### Responsible AI



- [Microsoft Responsible AI](https://microsoft.com/ai/responsible-ai) - Principles, tools, and practices for building AI systems that are fair, reliable, and transparent.

- [Google AI Principles](https://ai.google/responsibility/principles) - Framework for developing AI applications that are socially beneficial, avoid bias, and maintain accountability.

- [Partnership on AI](https://partnershiponai.org) - Multi-stakeholder organization developing best practices for responsible AI development and deployment.

- [AI Ethics Lab](https://aiethicslab.com) - Research and resources on ethical AI development, algorithmic fairness, and AI governance.



### Model Governance



- [MLflow](https://mlflow.org) - Open-source platform for ML lifecycle management including experiment tracking, model registry, and deployment.

- [Weights & Biases](https://wandb.ai) - ML experiment tracking and model management platform with versioning, lineage, and collaboration features.

- [Fiddler AI](https://fiddler.ai) - Model performance monitoring and explainability platform for detecting drift, bias, and compliance issues.

- [Arthur AI](https://arthur.ai) - ML monitoring platform providing model performance, fairness, and explainability insights for production systems.



### Data Governance for AI



- [Collibra](https://collibra.com) - Data intelligence platform with AI-assisted data cataloging, lineage tracking, and governance automation.

- [Alation](https://alation.com) - Data catalog with ML-powered discovery, governance, and compliance for AI/ML data pipelines.

- [Immuta](https://immuta.com) - Data access control platform with policy-based governance for sensitive data used in ML training.

- [DataRobot MLOps](https://datarobot.com/platform/mlops) - End-to-end ML operations with model governance, monitoring, and compliance tracking.



## Training and Certifications



### Certifications



- [IAPP AIGP](https://iapp.org/certify/aigp) - Artificial Intelligence Governance Professional certification covering AI governance frameworks, risk management, and ethics.

- [ISACA CGEIT](https://isaca.org/credentialing/cgeit) - Certified in Governance of Enterprise IT for professionals managing AI governance within enterprise IT.

- [CRISC](https://isaca.org/credentialing/crisc) - Certified in Risk and Information Systems Control for IT risk professionals managing AI-related risks.

- [CISA](https://isaca.org/credentialing/cisa) - Certified Information Systems Auditor for auditing AI systems and automated controls.

- [CompTIA Security+](https://comptia.org/certifications/security) - Foundational cybersecurity certification covering risk management and compliance fundamentals.



### AI Ethics and Governance Courses



- [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.

- [Stanford HAI Courses](https://hai.stanford.edu/education) - Human-Centered AI Institute courses on responsible AI development and policy.

- [Coursera AI Ethics](https://coursera.org/learn/ai-ethics) - Free course covering ethical frameworks for AI decision-making and bias mitigation.

- [edX AI Governance](https://edx.org/learn/artificial-intelligence) - University-backed courses on AI regulation, policy, and governance frameworks.



### GRC Fundamentals



- [SANS Security Awareness](https://sans.org/security-awareness-training) - Security training programs covering risk management, compliance, and security controls.

- [LinkedIn Learning GRC Path](https://linkedin.com/learning/topics/governance-risk-and-compliance) - Curated learning path for GRC fundamentals including risk assessment and audit.

- [Pluralsight Security Compliance](https://pluralsight.com/browse/information-cyber-security/compliance) - Technical compliance training for security professionals entering GRC.

- [ISACA Learning](https://isaca.org/training-and-events) - Professional development in audit, risk, governance, and cybersecurity.



## Prompts



Ready-to-use Claude prompts for GRC compliance workflows. See the [`prompts/`](prompts/) directory for usage instructions.



**Compliance Frameworks:**

- SOC 2 Audit Preparation - Generate timeline-based audit preparation checklist

- PCI DSS Gap Analysis - Identify compliance gaps with risk-prioritized remediation

- FedRAMP Compliance Assessment - Assess authorization readiness with control gap analysis

- FISMA Control Evaluation - Evaluate NIST 800-53 control implementation status



**AI Governance:**

- NIST AI RMF Risk Assessment - Comprehensive AI risk assessment across GOVERN, MAP, MEASURE, MANAGE functions



## Templates



Customizable policy templates for AI governance. See the [`templates/`](templates/) directory for customization instructions.



- AI Acceptable Use Policy - Guidelines for acceptable use of AI technologies (NIST AI RMF, ISO 42001)

- AI Risk Assessment Framework - Structured framework for identifying and mitigating AI risks (NIST AI RMF)

- Model Development Lifecycle Standard - Governance checkpoints for ML model development (MLOps, ISO 42001)



## Scripts



Automation scripts for compliance evidence collection. See the [`scripts/`](scripts/) directory for prerequisites and usage.



- AWS Evidence Collector (Python) - Collect SOC 2 compliance evidence from AWS

- GitHub SOC 2 Checker (Bash) - Audit GitHub organization settings against SOC 2 requirements

- Template Generator (Bash) - Generate customized policy documents from templates



## Contributing



See [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to contribute.



---



To 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).