Enterprise AI Security & Governance - ISACA AAISM AAIA AAIR

About this course

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 modelsAI security risks, threats, vulnerabilities, and mitigation strategiesAI risk management and control frameworksAI auditing, assurance, and compliance methodologies

Responsible AI, ethics, privacy, and regulatory considerationsAI 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

This course is designed for:

• Cybersecurity professionals
• Risk and compliance practitionersIT auditors and assurance professionals
• Governance and GRC teams
• Security architects and technology leaders
• Enterprise AI program managers
• Professionals preparing for ISACA AI certifications

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