ISACA • AAISM
Validates the ability to manage AI security across three domains: AI governance and program management, AI risk management including threats and supply chain issues, and AI technologies and controls, covering security architecture design and model lifecycle management.
Questions
600
Duration
150 minutes
Passing Score
450/800
Difficulty
AssociateLast Updated
Feb 2026
The ISACA Advanced in AI Security Management (AAISM) is the first and only AI-centric security management certification, launched by ISACA in August 2025. It validates a security professional's ability to manage enterprise-wide AI adoption while identifying, assessing, monitoring, and mitigating AI-specific risks. The credential covers three interconnected practice areas: AI governance and program management, AI risk management including supply chain and threat landscape considerations, and AI technologies and controls encompassing security architecture, data lifecycle management, and safety controls for AI systems.
AAISM was developed in direct response to the accelerating pace of AI tool adoption in enterprises, which frequently outpaces organizational policy and security frameworks. Rather than replacing existing security credentials, it layers AI-domain expertise on top of proven security management foundations. The exam tests 22 core competencies spanning governance frameworks, vendor oversight, incident response for AI systems, and security architecture design specific to AI model lifecycles.
AAISM is exclusively designed for experienced IT security professionals who already hold an active CISM (Certified Information Security Manager) or CISSP (Certified Information Systems Security Professional) credential — these are hard prerequisites, not recommendations. Candidates should also have hands-on experience assessing, implementing, and maintaining AI systems within an enterprise context.
The certification is well-suited for security managers, CISOs, security architects, and risk advisors who are responsible for governing or advising on AI adoption within their organizations. It targets professionals seeking to formalize and validate their AI security expertise as organizations increasingly integrate AI into critical operations, and who need to bridge the gap between traditional security management practices and emerging AI-specific threat landscapes.
Candidates must hold an active CISM or CISSP certification at the time of exam registration — this is a mandatory requirement with no exceptions. There is no formal application process prior to registering for the exam, but ISACA expects candidates to have demonstrated experience in security or advisory roles and some practical expertise with AI systems, including assessing AI risks and implementing or maintaining AI-driven solutions.
While no specific number of years of experience is mandated beyond what CISM or CISSP already require, the exam content assumes familiarity with enterprise security governance, risk management frameworks, and at least a working knowledge of AI technologies, data pipelines, and machine learning model lifecycles. Professionals newer to AI who hold CISM or CISSP should supplement their candidacy with hands-on AI exposure before attempting the exam.
The AAISM exam consists of 90 multiple-choice questions and must be completed within 150 minutes (2.5 hours). It is delivered as a computer-based exam, available either at authorized PSI testing centers worldwide or via live remote proctoring. Note that residents of India, Mainland China, and Hong Kong are restricted to in-person testing at PSI centers and cannot use remote proctoring.
The passing score is 450 on a scale of 800. Exam registration is continuous with no application windows — candidates can register at any time and have a 12-month eligibility window from the date of registration to schedule and sit the exam. Exams can be scheduled up to 90 days in advance and as early as 48 hours after payment is confirmed. The member exam fee is US$459 and the non-member fee is US$599, plus a US$50 application processing fee required after passing to obtain the certification.
AAISM positions certified professionals as specialized experts at the intersection of enterprise security management and artificial intelligence — a niche that is rapidly growing in organizational demand as AI adoption accelerates across industries. The credential supplements the widely respected CISM and CISSP certifications with validated AI-specific expertise, making holders distinctly qualified for roles such as AI Security Manager, Chief AI Security Officer, Security Architect (AI/ML), and AI Risk Advisor. It also strengthens the candidacy of existing CISOs and security directors who need to demonstrate governance competence over AI-driven business transformation.
ISACA has positioned AAISM as the definitive credential for security managers navigating AI governance — a role that did not exist at scale five years ago but is now embedded in enterprise risk and compliance programs globally. As regulators in the EU (AI Act) and other jurisdictions codify AI security and governance requirements, certified professionals are increasingly sought to operationalize compliance. While specific salary benchmarks for AAISM holders are not yet widely published given the credential's 2025 launch, it builds directly on CISM and CISSP — both of which consistently rank among the highest-paying IT certifications globally — and adds a premium AI specialization layer that is expected to command meaningful salary differentiation in the market.
1. A federated learning deployment for healthcare research involves 50 hospitals training a shared diagnostic model without centralizing patient data. Security testing identifies that gradient updates from individual hospitals can leak patient information through gradient inversion attacks. Which two defenses should be implemented? (Select two!)
Select all that apply2. An e-commerce platform deploys a recommendation engine that processes millions of API requests daily. Security monitoring detects a pattern of systematic queries designed to recreate the model's decision-making logic. Which two controls should the security team implement to defend against this attack? (Select two!)
Select all that apply3. An organization implements ISO 42001 for AI management systems. During the Stage 2 certification audit, auditors assess Annex A control implementation. The organization has omitted several controls from their risk treatment plan. What is the PRIMARY requirement the auditors will verify? (Select one!)
4. A security manager defines key risk indicators for monitoring AI solution security following ISACA AAISM Supporting Task 18. The production recommendation system requires metrics to detect adversarial attacks, performance degradation, and data quality issues. Which combination of metrics should be implemented? (Select three!)
Select all that apply5. An AI security team detects that a production recommendation model's prediction accuracy has degraded from 94% to 78% over three months, despite input feature distributions remaining stable. Which type of model drift has occurred? (Select one!)
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