عراب ال IT 
امتحانات دوليه
AAISM Advanced in AI Security Management
About the Certification
This is an advanced professional certification in AI Security Management, offered by ISACA. It focuses on securing Artificial Intelligence solutions across their entire lifecycle, from design and development to deployment and operations. The certification prepares professionals to understand AI-specific security risks, protect AI models and data, manage threats and attacks targeting AI systems, and apply practical governance, security, and compliance controls. It covers key areas such as AI data and model security, risk management, trust and transparency, and regulatory compliance, making it highly suitable for security managers, solution architects, and GRC professionals. This credential represents an advanced enterprise-level qualification for professionals responsible for securing AI systems in organizations that adopt AI in a safe, controlled, and responsible manner.
Main Curriculum
The curriculum is divided into three main domains
- AI Security Governance and Risk Management
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- AI security governance frameworks
- Organizational policies and regulatory standards
- AI risk identification and management
- Definition of security roles and responsibilities
- AI Security Architecture and Controls
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- Secure design and architecture of AI systems
- Data and model security
- Protection of the AI model lifecycle
- Technical and operational security controls
- AI Security Operations and Compliance
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- Operating and managing AI security programs
- Threat monitoring and incident response for AI systems
- Ethical and regulatory compliance
- Measurement, reporting, and continuous improvement
Exam Details
- Exam code: AAISM
- Duration: 90 minutes
- Number of questions: 150
- Question types: Multiple-choice + high-level strategic and management-based scenarios
- Language: English
- Passing score: 450 out of 800
- Exam fee: USD 500–800 (varies by country and may include taxes)
- Certification Maintenance The certification does not expire automatically Requires 20 CPE credits per year, totaling 120 CPE credits over 3 years Annual maintenance fee applies
Do I need certifications before it ?
Yes, officially required.
Candidates must hold an active and valid CISM or CISSP certification before applying for the AAISM – Advanced in AI Security Management credential. These certifications are considered mandatory prerequisites for eligibility.
Which certifications are recommended after this one ?
Not mandatory. However, for professionals seeking a strong enterprise-level path in AI Security Management especially in AI governance, risk management, and protection of AI models and data the AAISM itself represents the highest and strongest specialization in this domain.
What are the main career uses of the AAISM certification ?
- AI Security Architecture & Secure AI Design Designing secure AI architectures that protect models, data, and operational pipelines.
- AI Threats & Attack Mitigation Understanding and mitigating AI-specific threats such as model poisoning, adversarial attacks, and data leakage.
- ML Model Protection & Lifecycle Security Securing models from training through deployment and production.
- AI Risk Management & Governance Aligning AI security with governance frameworks and regulatory requirements.
- Cloud & MLOps Security Securing MLOps environments, cloud infrastructure, and AI deployment pipelines.
- Advanced Leadership Roles AI Security Manager, AI Risk & Security Lead, Secure AI Architect.
Advanced Professionalism in AI Security Management :
This certification represents an advanced specialization in securing AI systems, focusing on protecting AI models, data, and infrastructure from sophisticated threats. Earning it strengthens your role as a security leader capable of enabling safe and responsible AI adoption within modern enterprises.
Who is this certification suitable for ?
- Professionals working in Cybersecurity or Information Security Management.
- Engineers and managers responsible for securing AI systems and applications.
- Specialists dealing with AI risk management and AI-specific threats.
- Professionals defining security policies and controls for AI solutions.
- Those seeking specialization in AI Security and Responsible AI.