| # LLMSecForge: AI Cybersecurity Governance & Policy Frameworks | |
| ## `/frameworks/governance/` | |
| This directory provides comprehensive governance frameworks, policy templates, and compliance guidance for managing adversarial risks in AI systems, establishing best practices for LLM security governance. | |
| ``` | |
| frameworks/governance/ | |
| ├── README.md | |
| ├── policy-frameworks/ | |
| │ ├── security-governance-model.md | |
| │ ├── risk-management-framework.md | |
| │ ├── incident-response-policy.md | |
| │ └── compliance-integration.md | |
| ├── implementation/ | |
| │ ├── governance-implementation.md | |
| │ ├── security-controls.md | |
| │ ├── monitoring-framework.md | |
| │ └── testing-protocols.md | |
| ├── roles/ | |
| │ ├── security-responsibilities.md | |
| │ ├── red-team-governance.md | |
| │ ├── disclosure-management.md | |
| │ └── oversight-structure.md | |
| ├── standards/ | |
| │ ├── testing-standards.md | |
| │ ├── documentation-requirements.md | |
| │ ├── evidence-collection.md | |
| │ └── assessment-methodologies.md | |
| ├── risk-analysis/ | |
| │ ├── threat-modeling.md | |
| │ ├── vulnerability-classification.md | |
| │ ├── impact-assessment.md | |
| │ └── risk-quantification.md | |
| └── templates/ | |
| ├── governance-policy-template.md | |
| ├── risk-assessment-template.md | |
| ├── testing-documentation.md | |
| └── compliance-checklist.md | |
| ``` | |
| ## README.md | |
| # AI Cybersecurity Governance & Policy Frameworks | |
|  | |
|  | |
|  | |
| This framework provides a comprehensive approach to AI security governance, establishing structured methodologies for managing adversarial risks, implementing appropriate controls, and ensuring compliance with emerging regulatory requirements for AI systems. | |
| ## Governance Framework Purpose | |
| This section of the repository addresses critical governance needs: | |
| 1. **Policy Framework Integration**: Structured approaches to embedding adversarial security within organizational governance | |
| 2. **Compliance Alignment**: Methodologies for aligning security practices with emerging AI regulations and standards | |
| 3. **Risk Management Structures**: Frameworks for systematically assessing and managing adversarial risks | |
| 4. **Organizational Implementation**: Guidance for implementing governance across different organizational structures | |
| 5. **Documentation Standards**: Templates and requirements for governance documentation | |
| ## Core Framework Components | |
| ### 1. Policy & Governance Frameworks | |
| Comprehensive governance structures for AI security: | |
| - **Security Governance Model**: Organizational structure and oversight frameworks | |
| - **Risk Management Framework**: Structured approach to AI security risk management | |
| - **Incident Response Policy**: Governance for security incidents and vulnerabilities | |
| - **Compliance Integration**: Alignment with regulatory and industry standards | |
| ### 2. Implementation Guidance | |
| Practical approaches to governance implementation: | |
| - **Governance Implementation**: Step-by-step implementation methodologies | |
| - **Security Controls**: Technical and procedural control frameworks | |
| - **Monitoring Framework**: Continuous monitoring approaches | |
| - **Testing Protocols**: Governance requirements for security testing | |
| ### 3. Roles & Responsibilities | |
| Clear delineation of security governance roles: | |
| - **Security Responsibilities**: Role-based security responsibilities | |
| - **Red Team Governance**: Oversight and management of adversarial testing | |
| - **Disclosure Management**: Responsible disclosure governance | |
| - **Oversight Structure**: Board and executive-level oversight frameworks | |
| ### 4. Standards & Requirements | |
| Detailed standards for security governance: | |
| - **Testing Standards**: Requirements for adversarial testing | |
| - **Documentation Requirements**: Standards for security documentation | |
| - **Evidence Collection**: Requirements for evidence gathering and retention | |
| - **Assessment Methodologies**: Standardized assessment approaches | |
| ### 5. Risk Analysis Frameworks | |
| Structured approaches to AI security risk: | |
| - **Threat Modeling**: Frameworks for AI-specific threat modeling | |
| - **Vulnerability Classification**: Standardized vulnerability categorization | |
| - **Impact Assessment**: Methodologies for evaluating security impact | |
| - **Risk Quantification**: Approaches to quantifying AI security risk | |
| ## Applications of this Framework | |
| This governance framework supports several critical organizational functions: | |
| 1. **Executive Leadership**: Provides governance structures for board and executive oversight | |
| 2. **Security Teams**: Establishes clear roles, responsibilities, and procedures | |
| 3. **Compliance Functions**: Aligns security practices with regulatory requirements | |
| 4. **Risk Management**: Provides frameworks for systematic risk management | |
| 5. **Audit Functions**: Establishes clear standards for security assessment and evidence | |
| ## For Security Leaders | |
| If you're responsible for AI security governance: | |
| 1. Review the governance model to establish appropriate organizational structures | |
| 2. Implement the risk management framework to systematically address AI risks | |
| 3. Utilize the implementation guidance for practical governance rollout | |
| 4. Leverage the templates for efficient policy and procedure development | |
| ## For Compliance Teams | |
| If you're responsible for AI compliance: | |
| 1. Use the compliance integration framework to align security with regulatory requirements | |
| 2. Implement the documentation standards to ensure adequate evidence collection | |
| 3. Leverage the assessment methodologies for compliance verification | |
| 4. Utilize the templates for creating compliance-aligned documentation | |
| --- | |
| ## AI Security Governance Model | |
| ```markdown | |
| # AI Security Governance |