# governance
94 articlestagged with “governance”
Approval Workflow Bypass Techniques
Techniques for bypassing human and automated approval workflows in governed agent systems.
Professional Practice Exam
25-question practice exam on professional AI red teaming: engagement methodology, scoping, report writing, governance frameworks, client communication, and ethical considerations.
Practice Exam 2: Advanced AI Security
25-question advanced practice exam covering multimodal attacks, training pipeline security, cloud AI security, forensics, and governance.
AI Governance Practice Exam
Practice exam covering EU AI Act, NIST frameworks, ISO standards, and organizational governance.
Advanced Governance Practice Exam
Practice exam covering EU AI Act compliance, NIST AI 600-1 implementation, and MITRE ATLAS mapping.
Advanced Governance Practice Exam (Assessment)
Advanced governance practice exam covering international regulation, audit methodologies, and organizational frameworks.
Governance Specialist Practice Exam
Specialized practice exam focusing on AI governance, compliance frameworks, and audit methodologies.
EU AI Act Compliance Assessment
Comprehensive assessment of organizational readiness for EU AI Act requirements including red team testing mandates.
Governance & Compliance Assessment
Assessment on EU AI Act, NIST AI RMF, ISO 42001, and organizational AI governance frameworks.
Governance Assessment
Test your knowledge of AI governance, regulatory frameworks, compliance requirements, and responsible AI practices with 15 intermediate-level questions.
NIST AI RMF Assessment
Assessment covering implementation of NIST AI Risk Management Framework across all four functions.
Skill Verification: Governance Audit
Hands-on verification of AI governance audit skills including framework application and gap analysis.
Skill Verification: Governance and Compliance
Verification of skills in AI governance framework implementation, audit, and compliance assessment.
Skill Verification: Governance Audit (Assessment)
Practical verification of AI governance audit skills against EU AI Act and NIST AI RMF requirements.
Governance Certification Prep Guide
Study guide for governance and compliance certification covering regulatory frameworks and standards.
Professional Practice Study Guide
Study guide covering AI red teaming methodology, engagement management, report writing, governance frameworks, and professional ethics.
Capstone: Implement an AI Compliance Framework
Build a comprehensive AI compliance framework that maps security testing to regulatory requirements including the EU AI Act, NIST AI RMF, and ISO 42001.
Capstone: Design an Enterprise AI Security Program
Architect a comprehensive enterprise AI security program spanning governance, technical controls, risk management, and incident response for organizations deploying LLMs at scale.
Capstone: AI Governance Audit
Capstone exercise: conduct a full AI governance audit covering compliance, risk, and operational controls.
Capstone: Red Team Program Design
Design a complete AI red team program for a fictional enterprise, producing a comprehensive program charter document.
Samsung Code Leak via ChatGPT
Analysis of the April 2023 incident where Samsung employees leaked proprietary source code, test data, and internal meeting notes by entering them into ChatGPT. Covers data loss prevention, acceptable use policies, and enterprise AI governance.
Shared Responsibility Model for Cloud AI Security
Understanding the division of security responsibilities between cloud providers and customers for AI/ML workloads across AWS, Azure, and GCP, with specific guidance for LLM deployments.
Multi-Cloud AI Security Overview
Security risks of multi-cloud AI deployments: cross-cloud attack surfaces, credential management challenges, inconsistent security controls, and governance gaps across AWS, Azure, and GCP AI services.
Multi-Cloud AI Security Strategy
Designing and implementing a unified security strategy for organizations using AI services across AWS, Azure, and GCP, covering policy normalization, centralized monitoring, and cross-cloud incident response.
Governance Frameworks for AI Code Generation
Organizational governance frameworks for managing AI code generation risk, covering policy development, risk assessment, compliance, and maturity models.
License Compliance in AI-Generated Code
Legal and compliance risks of AI-generated code including license contamination, copyright exposure, and organizational governance for code generation tools.
AI Audit Methodologies
Structured methodologies for auditing AI systems covering technical, organizational, and compliance dimensions.
AI Audit Trail and Logging Requirements
Requirements for AI system audit trails, logging, and record-keeping for compliance and forensic purposes.
AI Bias and Security: Intersection Analysis
Analysis of how AI bias and security vulnerabilities intersect and compound in production systems.
AI Board-Level Governance
Guidance for corporate boards on AI risk oversight, security governance, and strategic AI risk management.
AI Security Certification Landscape
Overview of AI security certifications, professional qualifications, and organizational attestation programs.
AI Data Governance and Security
Data governance practices specific to AI systems including training data provenance, access controls, and retention.
AI Ethics Board Formation and Operation
Guide to forming and operating an AI ethics board for organizational AI governance.
Ethics of AI Red Teaming (Governance Compliance)
Ethical frameworks and guidelines for conducting AI security research including dual-use considerations and responsible disclosure.
AI Governance Framework Design
Designing organizational AI governance frameworks that integrate security, ethics, and compliance.
AI Impact Assessment Methodology
Methodology for conducting algorithmic impact assessments required by emerging regulations.
AI Incident Reporting Requirements
Analysis of mandatory AI incident reporting requirements under EU AI Act, sector regulations, and voluntary frameworks.
AI Incident Response Governance
Governance frameworks for AI incident response including roles, escalation, and regulatory notification.
AI Insurance and Cyber Risk
Analysis of cyber insurance coverage for AI-specific risks including model failures, bias incidents, and security breaches.
AI Insurance and Risk Transfer
Understanding AI insurance products and risk transfer mechanisms for organizational protection.
International AI Governance Frameworks
Comparative analysis of AI governance approaches across US, EU, UK, China, and international bodies.
AI Liability Legal Landscape
Current legal landscape for AI liability including product liability, negligence, and regulatory enforcement.
AI Model Lifecycle Governance
Governance practices across the model lifecycle from procurement through deployment to decommissioning.
Open-Source Model Governance
Governance frameworks for organizations using open-source AI models including security vetting and supply chain risks.
AI Procurement Security Requirements
Security requirements for AI procurement processes including evaluation criteria, contract terms, and acceptance testing.
Legal Framework for AI Red Teaming
Comprehensive analysis of legal considerations, authorization requirements, and liability issues for AI security testing.
AI Red Team Maturity Model
Maturity model for organizational AI red teaming capabilities from ad-hoc testing to continuous security operations.
AI Risk Assessment Methodologies
Structured methodologies for assessing AI system risks including quantitative, qualitative, and hybrid approaches.
AI Risk Register Development
Guide to developing and maintaining an AI risk register for organizational governance.
AI Supply Chain Governance
Governance frameworks for managing risks from third-party models, training data, and AI service dependencies.
AI Security Testing Standards Comparison
Comparative analysis of AI security testing standards including NIST, ISO, OWASP, and MITRE frameworks.
AI Transparency and Documentation
Requirements and best practices for AI system transparency including model cards and datasheets.
AI Vendor Security Assessment Framework
Framework for evaluating the security posture of AI vendors, model providers, and service integrations.
AI Whistleblower and Researcher Protections
Legal protections for AI safety researchers, whistleblowers, and security testers across jurisdictions.
AI Whistleblowing Protections
Legal protections for AI safety whistleblowers and organizational mechanisms for raising AI safety concerns.
China AI Regulation Analysis
Analysis of China's AI regulatory framework including the Algorithm Recommendation Regulation and GenAI measures.
Cross-Border AI Regulation
Navigating AI regulation across jurisdictions including EU, US, UK, China, and international frameworks.
EU AI Act: Comprehensive Analysis
Comprehensive analysis of the EU AI Act including risk tiers, obligations, and enforcement timeline.
EU AI Act Red Team Requirements
Specific red teaming and testing requirements under the EU AI Act for high-risk AI systems.
Post-Executive Order AI Governance Landscape
The US AI governance landscape after the rescission of Executive Order 14110: what was lost, what remains, and how it affects AI red teaming practice and the broader regulatory environment.
Governance & Compliance
AI governance frameworks, legal and ethical considerations, evaluation and benchmarking methodologies, and compliance tools for responsible AI red teaming and deployment.
ISO/IEC 42001 Implementation
Guide to implementing ISO/IEC 42001 AI Management System Standard in organizations.
MITRE ATLAS Practical Guide
Practical guide to using MITRE ATLAS for AI threat modeling and attack surface mapping.
NIST AI 600-1 GenAI Profile
Analysis of NIST AI 600-1 specific guidance for generative AI risk management.
NIST AI RMF Implementation Guide
Practical implementation guide for the NIST AI Risk Management Framework in organizations.
OWASP LLM Top 10 2025 Deep Dive
Deep dive into each of the OWASP LLM Top 10 2025 vulnerabilities with mitigation strategies.
Responsible AI Red Teaming Ethics
Ethical frameworks for conducting AI red teaming including scope limits and harm prevention.
Sector-Specific AI Regulation Analysis
Analysis of AI regulations specific to healthcare, finance, defense, and critical infrastructure sectors.
Supplier AI Risk Assessment Guide
Conducting AI risk assessments of third-party suppliers and their AI components.
Third-Party AI Risk Management
Managing risks from third-party AI services and models in organizational deployments.
UK AI Regulation Analysis
Analysis of the UK's pro-innovation approach to AI regulation and its implications for AI security.
US Executive Order 14110 Analysis
Analysis of Executive Order 14110 on Safe, Secure, and Trustworthy AI and its implications.
AI Board Reporting Frameworks
Frameworks for reporting AI risks and security metrics to board of directors and executive leadership.
AI Ethics Board Design and Operations
Designing and operating effective AI ethics boards with governance authority and technical oversight.
AI Governance Maturity Model
Assessing and advancing organizational AI governance maturity across multiple capability dimensions.
AI Impact Assessment Methodology (Governance Compliance)
Methodology for conducting AI impact assessments including human rights, environmental, and social dimensions.
AI Incident Notification Requirements
Regulatory requirements for AI incident notification across EU, US, UK, and other jurisdictions.
AI Insurance and Liability Coverage
Understanding AI-specific insurance products and liability coverage for organizations deploying AI systems.
AI Model Governance Lifecycle
Governance processes for the complete AI model lifecycle from procurement through retirement.
AI Procurement Security Checklist
Security checklist for evaluating and procuring AI systems and services from third-party vendors.
Mapping Red Team Activities to Regulations
Mapping AI red team activities to specific regulatory requirements for compliance evidence.
AI Risk Appetite Framework Development
Developing organizational AI risk appetite frameworks that balance innovation with security and compliance.
AI Supply Chain Governance (Governance Compliance)
Governance frameworks for managing AI supply chain risks including model providers, data sources, and integrations.
Regulatory Requirements for AI Testing
Mandatory AI testing and red teaming requirements under various regulatory frameworks worldwide.
AI Testing Standards Comparison
Comparison of AI testing standards including ISO 42001, IEEE, and emerging industry-specific standards.
AI Whistleblowing and Disclosure Protections
Legal protections and procedures for responsible disclosure of AI safety and security issues.
China AI Regulation Analysis (Governance Compliance)
Analysis of China's AI regulatory framework including algorithmic recommendation rules and generative AI provisions.
Data Protection Compliance for AI Systems
GDPR and data protection compliance requirements specific to AI systems and their training data.
International AI Treaty Landscape
Analysis of emerging international AI treaties, agreements, and coordination mechanisms.
Responsible Disclosure for AI Vulnerabilities
Processes and best practices for responsible disclosure of vulnerabilities in AI systems.
Sector-Specific AI Regulation Landscape
Overview of sector-specific AI regulations in healthcare, finance, education, and critical infrastructure.
UK AI Regulation Framework Analysis
Analysis of the UK's sector-specific AI regulation approach and its implications for red teaming.
Shadow AI Detection
Finding unauthorized AI deployments in organizations: detection methods, common shadow AI patterns, and assessment of unmanaged AI risks.
Regulatory Quick Reference
Quick reference for AI-relevant regulations and frameworks including NIST AI RMF, ISO/IEC 42001, EU AI Act, and sector-specific requirements.