ISACA Advanced in AI Security Management (AAISM)
ActiveexpertSecurity$599Learning plan ↓
AI security governance, risk and controls for security managers. $459 for members, $599 otherwise. See also ISACA's separate AAIR (AI Risk) credential.
Who it's for: CISOs and security managers with CISM or CISSP.
Exam facts
- Provider
- ISACA
- Cost
- $599
- Format
- Proctored exam
- Questions
- 90
- Duration
- 150 minutes
- Validity
- No expiry
- Renewal
- Annual CPE + maintenance fee
- Prerequisites
- Active CISM or CISSP
- Study time (est.)
- 30–50 hours
- Difficulty
- ●●●●○ (4/5)
- Employer demand
- ●●●○○ (3/5)
- Atlas score
- 63/100
- Official page
- www.isaca.org
- Last verified
- 2026-10-18
Learning plan
About 40 hours of focused study, split into 4 phases. Pick your weekly pace and the timeline adjusts.
Estimated finish: 4 weeks
What the exam covers
| Domain | Weight |
|---|---|
| AI Governance and Program Management | 31% |
| AI Risk Management | 31% |
| AI Technologies and Controls | 38% |
Source: official exam guide. Weights can change, so check before you start.
Before you start
- Eligibility: you need an active CISM or CISSP to register. AAISM assumes you already know security programme management
- Basic familiarity with how LLM applications are built (prompts, RAG, fine-tuning, APIs) so the controls domain makes sense
- Weeks 1–2 · 11 h
AI security governance and programme management (Domain 1)
- Map stakeholder, framework and regulatory requirements (EU AI Act, NIST AI RMF, ISO/IEC 42001) to an AI security charter
- Write AI-specific strategy, policy and procedures, including acceptable use, model approval and shadow-AI handling
- Manage the AI asset and data life cycle, with an inventory of models, datasets, prompts and agents and their owners
- Extend business continuity and incident response to AI failures such as model outage, harmful output and data leakage through prompts
Hands-on: Write an AI incident response playbook for a customer-facing LLM chatbot that leaked another customer's data. Include detection signals, severity levels, containment (kill switch, prompt rollback), notification triggers and lessons learned.
- Weeks 2–3 · 11 h
AI risk management (Domain 2)
- Run an AI risk assessment with explicit thresholds and choose a treatment (mitigate, transfer, avoid, accept)
- Maintain an AI threat and vulnerability register using MITRE ATLAS techniques and the OWASP LLM Top 10
- Assess AI vendors and the supply chain (model provenance, third-party APIs, open-weight model risks, contract clauses on data use)
Hands-on: Build an AI risk register for a RAG-based internal knowledge assistant. List at least eight risks (prompt injection, sensitive-data exposure, poisoned documents, vendor outage and others), each with likelihood, impact, owner, the related ATLAS/OWASP ID and a treatment decision.
Use: MITRE ATLAS · OWASP Top 10 for LLM Applications · NIST AI 600-1 Generative AI Profile
- Weeks 3–4 · 12 h
AI technologies and controls, the largest domain (Domain 3)
- Design AI security architecture with input/output filtering, guardrails, least-privilege tool access for agents, secrets isolation and network segmentation for model endpoints
- Secure the model life cycle, covering model selection, training-data integrity, validation, signing and registry controls
- Apply data controls (classification, masking, retention) and privacy, ethics, trust and safety controls
- Define monitoring for AI systems, such as prompt/response logging, abuse detection, drift alerts and red-team cadence
Hands-on: Play Gandalf to level 5 or beyond, writing down each bypass technique. Then map each one to the control that would have stopped it (output filtering, system-prompt isolation, canary tokens) and add those controls to your Phase 2 risk register.
Use: OWASP Top 10 for LLM Applications · Gandalf prompt-injection challenge (Lakera)
- Week 4 · 6 h
Practice questions and review
- Complete the free 12-question AAISM practice quiz, then at least 150 QAE database questions
- Re-study any subtopic (1A–3E) where you score below 70%
- Practise choosing the manager's answer (governance, risk-based priority) over the hands-on technical fix
You're ready to book when…
- You can explain prompt injection, data poisoning and model extraction, and name a preventive and a detective control for each
- You have a finished AI risk register and AI incident playbook you could present to a steering committee
- You consistently score 75% or higher on unseen QAE questions
Exam tips
- As with CISM, the best answer is usually the one that aligns with business objectives and risk appetite, not the most technical fix.
- Registration gives you a six-month window to test, and you have five years after passing to apply for the credential ($50 fee).