Enterprise AI Security & Governance – ISACA AAISM AAIA AAIR

Master AI governance frameworks aligned with ISACA AASIM, AAIA, and AAIR domains for enterprise AI oversight
Identify and mitigate AI security, privacy, compliance, and operational risks across enterprise environments
Perform AI risk assessments, audits, and assurance activities using practical governance methodologies
Build secure, responsible, and compliant AI programs with effective controls, policies, and monitoring practices

Requirements

Basic understanding of cybersecurity, IT, risk management, or governance concepts
Familiarity with enterprise technology environments and cloud or AI concepts is helpful but not required
No prior AI governance or ISACA certification experience is required
A willingness to learn practical AI security, risk, audit, and governance frameworks

Description

Artificial Intelligence is rapidly transforming enterprises, but with innovation comes new security, governance, compliance, and risk management challenges. Organizations must ensure AI systems are secure, trustworthy, compliant, auditable, and aligned with business objectives.
This course provides a practical and comprehensive approach to Enterprise AI Governance, covering the key principles of AI Security, Risk Management, Audit, Assurance, Compliance, and Governance aligned with ISACA AI domains including AASIM, AAIA, and AAIR.
You will learn how to identify and mitigate AI-related risks, establish governance frameworks, secure AI systems and data, assess regulatory and ethical considerations, and implement effective oversight across enterprise AI environments.
The course bridges the gap between cybersecurity, governance, audit, and enterprise AI adoption, helping professionals understand how to manage AI responsibly in real-world organizations.
In This Course, You Will Learn
- Enterprise AI governance principles and operating models
- AI security risks, threats, vulnerabilities, and mitigation strategies
- AI risk management and control frameworks
- AI auditing, assurance, and compliance methodologies
- Responsible AI, ethics, privacy, and regulatory considerations
- AI lifecycle governance and third-party AI risk management
- Governance for Generative AI and Large Language Models (LLMs)
- Practical enterprise AI governance implementation strategies

Who this course is for

Cybersecurity, risk, governance, and compliance professionals seeking AI governance expertise
Internal and external auditors assessing AI security, controls, and regulatory compliance
IT managers, architects, and technology leaders implementing enterprise AI solutions
Professionals preparing for ISACA AI-related certifications including AASIM, AAIA, and AAIR

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