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Course Description

18 hours 1.8 CEUs | Instructor-Led Certification Bootcamp

Artificial intelligence introduces new opportunities as well as new attack paths, data exposures and governance challenges. The Advanced in AI Security Management™ course prepares security leaders to govern and protect enterprise AI solutions while enabling responsible adoption. Students learn to integrate AI-specific security requirements into established security programs, risk practices, architecture, operations, vendor oversight and incident response.

Aligned with the ISACA AAISM exam domains, this instructor-led course covers AI governance and program management, AI risk management, and AI technologies and controls. Through practical scenarios, discussions and exam-preparation activities, students learn to advise stakeholders, secure the AI life cycle, select appropriate controls and manage the evolving threat landscape surrounding AI systems.

Course Outline

  • Module 1: AI Security Foundations
    • AI models, architectures, use cases and life-cycle stages
    • AI assets, data flows and shared-responsibility considerations
    • AI threat landscape and security implications
    • Security leadership roles in responsible AI adoption
  • Module 2: AI Governance and Program Management
    • Governance charters, roles and stakeholder responsibilities
    • AI security strategies, policies, standards and procedures
    • Industry frameworks, legal requirements and ethical principles
    • AI asset and data life-cycle management
    • AI security program development, metrics and reporting
    • Business continuity and AI incident response
  • Module 3: AI Risk Management
    • AI risk identification, assessment and treatment
    • Risk appetite, thresholds and escalation
    • AI-specific threats, vulnerabilities and attack techniques
    • Vendor, cloud and AI supply-chain risk
    • Risk monitoring and communication
  • Module 4: AI Technologies and Controls
    • Secure AI architecture and design
    • Model selection, training, testing and validation
    • Data security, privacy and integrity controls
    • Trust, safety, fairness and explainability controls
    • Security monitoring, logging and control assurance
  • Module 5: AAISM Exam Preparation
    • Review of the three AAISM exam domains
    • Scenario-based questions and test-taking strategies
    • Knowledge checks and targeted review

Learner Outcomes

Upon successful completion of this course, students will be able to:

  • Explain AI technologies, architectures and security risks in business terms.
  • Develop governance structures, policies and security-program practices for enterprise AI.
  • Assess and treat AI risks, threats, vulnerabilities and supply-chain exposures.
  • Select and evaluate controls across the AI and data life cycles.
  • Integrate AI security into business continuity, incident response, monitoring and reporting.
  • Advise stakeholders on responsible AI adoption and prepare for the AAISM exam.

Additional Information

SLU's Course Kit: (included in the course fee):

All included ISACA materials and resources, including the certification exam voucher, are accessible or valid for 6 months.

  • ISACA AAISM Official Review Manual (digital edition)
  • AAISM Questions, Answers & Explanations (QAE) Database access
  • Instructor-led presentation materials and exam-preparation activities
  • One AAISM certification exam attempt

About the Test:

  • 90-question computer-based certification exam.
  • Covers AI Governance and Program Management, AI Risk Management, and AI Technologies and Controls.
  • Administered through ISACA's authorized testing provider at approved testing centers or by remote proctoring where permitted.
  • The exam registration is valid for a six-month eligibility period.

Requirements for Certification Exam Testing:

Exam and certification requirements are separate from the prerequisites for attending this course. To earn the certification, candidates must:

  • Hold an active CISM® or CISSP® certification before registering for the AAISM exam.
  • Register and pay for the AAISM exam through ISACA.
  • Schedule and pass the exam within the six-month eligibility period.
  • Maintain the active CISM or CISSP credential while applying for and holding the AAISM certification.
  • Submit the AAISM certification application and US$50 application fee within five years of passing the exam.
  • Agree to ISACA's Code of Professional Ethics and complete the required specialized AI continuing education after certification.

Prerequisites

Students should complete either the SLU Workforce Center SEC960 Certified Information Security Manager (CISM®) Bootcamp or SEC600 Certified Information Systems Security Professional (CISSP®) Bootcamp, or have equivalent professional experience. Students should understand information-security governance, security program management, risk management, architecture, controls, business continuity and incident response. Basic familiarity with AI concepts, cloud services, data governance and third-party risk is also helpful.

Duration

18 Hours | 3 Days or 6 Nights
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Enroll Now - Select a section to enroll in

Section Title
Advanced in AI Security Management (AAISM)
Type
Instructor-Led
Days
M, W
Time (Central Time)
5:30PM to 8:30PM
Dates
Oct 19, 2026 to Nov 04, 2026
Schedule and Location
# of Course Hours
18.0
Location
Delivery Option
Course Fee(s)
Rate non-credit $2,995.00
Potential Discount(s)
Section Title
Advanced in AI Security Management (AAISM)
Type
Instructor-Led
Days
T, Th
Time (Central Time)
5:30PM to 8:30PM
Dates
Dec 01, 2026 to Dec 17, 2026
Schedule and Location
# of Course Hours
18.0
Location
Delivery Option
Course Fee(s)
Rate non-credit $2,995.00
Potential Discount(s)
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