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AI Risk and Compliance: Audit and Governance Foundations · LearnSpace
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AI Risk and Compliance: Audit and Governance Foundations

Курс от Board Infinity
Средний≈ 17.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This advanced course provides a practical, end-to-end approach to governing, securing, and auditing AI systems in enterprise environments. Learners begin by examining adversarial threats to AI systems—including jailbreaks, prompt injection, data leakage, manipulation, and misinformation attacks—and practice structured red teaming using both manual and automated techniques. Participants learn how to analyze vulnerability severity and exploitability, prioritize remediation, and evaluate AI system readiness under adversarial conditions while communicating findings through clear, audit-ready documentation. The course then explores regulatory and governance frameworks, focusing on the EU AI Act and the NIST AI Risk Management Framework (Govern, Map, Measure, Manage). Learners analyze AI system classifications, risk tiers, and obligations, and apply NIST AI RMF principles across the AI lifecycle. The course also covers key legal and compliance risks, including copyright, licensing, and data usage concerns in training data and outputs, and guides learners in creating concise compliance documentation and policies aligned with EU AI Act and NIST AI RMF requirements. Learners dive into explainability for LLMs and other AI models, exploring challenges and techniques such as SHAP, LIME, and attention visualization. They apply these tools to generate human-readable explanations, and critically evaluate the faithfulness, reliability, and quality of these explanations for different stakeholders. Finally, the course turns to safety engineering and organizational governance, including implementing guardrails frameworks (e.g., Guardrails AI, NVIDIA NeMo) and using Presidio for PII detection, masking, and anonymization in AI and RAG pipelines. Learners assess Shadow AI risks and design governance strategies, monitoring, and control architectures that mitigate unsafe AI usage, document vulnerabilities, and support continuous regulatory compliance. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Навыки, которые вы освоите

Compliance ManagementGovernance Risk Management and ComplianceCompliance AuditingRisk MitigationCompliance ReportingThreat ModelingPersonally Identifiable InformationRisk Management FrameworkAI SecuritySafety AuditsResponsible AILaw, Regulation, and ComplianceLegal RiskRegulatory ComplianceSafety AssuranceRegulatory DocumentsData Loss PreventionAI IntegrationsRegulatory RequirementsVulnerability Assessments

Программа курса

4 модулей · 63 учебных материалов

01Adversarial Robustness & Red Teaming AI Systems16 материалов

Understanding AI Threat Models

Career Scope in AI Governance, Red Teaming & RiskВидеоLLM Threat Categories: Jailbreaks, Leakage & ManipulationВидеоDistinguishing Benign Failures vs Adversarial BehaviorВидео“LLM Threat Taxonomy & Real-World Enterprise Attack Patterns”Чтение

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Board Infinity

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AI Risk and Compliance: Audit and Governance Foundations
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Обучение на Coursera

≈ 17.2 ч

4 модулей

Язык: Английский

Часть программы вашего университета
Understanding AI Threat ModelsЗадание

Prompt Injection, Jailbreaks & Adversarial Stress-Testing

How Prompt Injection Works (Attack Anatomy)ВидеоHow Prompt Injection Works (Attack Anatomy) - Part 2ВидеоJailbreak Techniques Against Modern Chat ModelsВидеоStress-Testing LLM Defenses Across ArchitecturesВидео“Enterprise Adversarial Prompt Catalog”ЧтениеPrompt Injection, Jailbreaks & Adversarial Stress-TestingЗадание

Using Giskard for Automated Red Teaming

Introduction to Giskard Vulnerability ScansВидео“Giskard Scan Interpretation Guide”ЧтениеUsing Giskard for Automated Red TeamingЗаданиеTopics: red teaming, threat models, adversarial techniques, Giskard findings.ЗаданиеQuick Course Check-InPLUGIN
02Regulatory Compliance: EU AI Act, NIST RMF & Copyright14 материалов

EU AI Act: Risk Tiers, Obligations & Documentation

EU AI Act Overview & Risk CategoriesВидеоMandatory Requirements for High-Risk SystemsВидеоConformity Assessments & Post-Market MonitoringВидео“EU AI Act Compliance Checklist for Enterprises”ЧтениеEU AI Act: Risk Tiers, Obligations & DocumentationЗадание

NIST AI RMF (Govern, Map, Measure, Manage)

Applying RMF Across the AI LifecycleВидеоNIST-Aligned Risk Assessment TechniquesВидео“NIST RMF Implementation Blueprint”ЧтениеNIST AI RMF (Govern, Map, Measure, Manage)Задание

Copyright, Data Usage & Legal Exposure

Training-Data Licensing RisksВидеоEnterprise Liability & Unauthorized TrainingВидео“Copyright & AI — Current Case Law & Risk Patterns”ЧтениеCopyright, Data Usage & Legal ExposureЗаданиеEU AI Act, NIST mapping, copyright risk.Задание
03Explainability (XAI) & System Transparency17 материалов

Interpreting Black Box Models

Why Explainability Is Difficult for LLMsВидеоComparing XAI Techniques: SHAP, LIME, Attention MapsВидеоWhen to Use Which XAI MethodВидеоWhen to Use Which XAI Method Part -2Видео“XAI Playbook: Interpreting Predictive ML vs LLM Systems”ЧтениеInterpreting Black Box ModelsЗадание

Using XAI Tools for Stakeholder Communication

Generating Human-Readable ExplanationsВидеоPresenting Explanations to Executives/RegulatorsВидеоFaithfulness & Reliability of ExplanationsВидео“Executive Explanation Templates for Model Decisions”ЧтениеUsing XAI Tools for Stakeholder CommunicationЗадание

Transparency for Governance & Compliance

Transparency Requirements Across FrameworksВидеоCreating System & Decision Flow DocumentationВидеоDesigning Transparency WorkflowsВидео“Transparency Reporting & Audit Templates”ЧтениеTransparency for Governance & ComplianceЗаданиеTopics: SHAP, LIME, documentation, transparency, explainability.Задание
04Guardrails, PII Protection & Shadow AI Mitigation16 материалов

Implementing Guardrails for Safety & Policy Enforcement

Guardrails AI / NeMo Guardrails OverviewВидеоBuilding Rule-Based and Semantic GuardrailsВидеоTesting Guardrails Against AttacksВидео“Guardrails Implementation Guide”ЧтениеImplementing Guardrails for Safety & Policy EnforcementЗадание

PII Detection & Data Scrubbing with Presidio

Presidio Architecture & EntitiesВидеоDetecting & Masking Sensitive DataВидеоIntegrating Presidio Into RAG PipelinesВидео“PII Governance & Safe Data Handling”ЧтениеPII Detection & Data Scrubbing with PresidioЗадание

Shadow AI: Risks, Detection & Controls

What Shadow AI Looks Like in EnterprisesВидеоMonitoring, Policy, and Enforcement TechniquesВидеоDesigning Organization-Wide Governance ControlsВидео“Shadow AI Governance Framework”ЧтениеShadow AI: Risks, Detection & ControlsЗадание“Help me design a governance strategy to eliminate Shadow AI risks.”Задание