Certified Artificial Intelligence Security Professional (CAISP)

The Certified Artificial Intelligence Security Professional (CAISP) training course provides participants with the knowledge and skills required to secure artificial intelligence systems throughout their life cycle.

The course covers AI-specific threats, vulnerabilities, governance, risk management, and security controls aligned with modern cybersecurity and AI security practices. Participants learn how to protect AI models, data, infrastructure, applications, APIs, and AI-enabled operations against emerging threats.

The course also explores how artificial intelligence can be used as a defensive security capability, including AI-driven security monitoring, threat hunting, threat intelligence, and AI-assisted security analysis.

Through theoretical concepts, practical exercises, and real-world scenarios, participants develop the skills required to assess AI security risks, implement appropriate controls, investigate security incidents, and support AI governance and compliance requirements.

Why Should You Attend?

Artificial intelligence systems introduce security risks that extend beyond traditional cybersecurity controls. AI systems can be exposed to prompt injection, adversarial attacks, data poisoning, model manipulation, insecure integrations, supply chain vulnerabilities, and risks associated with AI agents and their tools.

The CAISP training course provides security professionals with a structured understanding of how AI systems are designed, attacked, defended, monitored, and governed.

Participants will learn how to identify AI-specific threats, assess vulnerabilities, apply security controls, and support AI security throughout the development and operational life cycle.

The course includes practical lab exercises covering AI security tools and techniques such as prompt injection testing, AI red teaming, threat intelligence workflows, and AI-assisted malware analysis. These exercises help participants apply the concepts covered throughout the training to realistic AI security scenarios.

The course is also relevant for professionals working with broader AI governance and risk management programs. For professionals looking to develop their knowledge of AI management systems, Risk Professionals offers PECB ISO/IEC 42001 Training, which focuses on AI governance, risk management, accountability, and responsible AI management.

By the end of the course, participants will be equipped to assess the security posture of AI systems, implement appropriate security controls, respond to AI security incidents, and contribute to organizational AI governance and compliance programs.

Who Should Attend?

This training course is intended for:

• AI and machine learning engineers responsible for developing, deploying, or maintaining AI systems
• Cybersecurity and information security professionals looking to extend their expertise to AI-specific threats and defenses
• SOC analysts and threat intelligence professionals working in AI-enabled security environments
• IT security architects and consultants designing or reviewing AI system architectures
• Risk management and compliance professionals working with AI governance, security frameworks, and regulatory requirements
• Data scientists and AI developers seeking to apply security practices throughout the AI development life cycle
• Technology managers and technical leads responsible for AI security strategy and program management
• Professionals involved in AI risk assessment, threat modeling, incident response, and security monitoring

Professionals interested in AI risk management can also explore the AI Risk Manager Training Course offered by Risk Professionals.

Learning Objectives

By the end of this training course, participants will be able to:

• Explain the architecture and operation of machine learning, deep learning, large language models, and AI agents
• Identify security risks arising from AI system design, training, deployment, and operation
• Analyze threats to AI and LLM systems using MITRE ATLAS and the OWASP LLM Top 10
• Understand common AI attack techniques across the AI system life cycle
• Apply AI security controls and monitoring strategies to detect and respond to adversarial activity
• Apply threat intelligence workflows to identify and investigate AI-related security threats
• Support AI security incident response and investigation activities
• Assess the security posture of AI systems and identify areas requiring improvement
• Contribute to AI security governance, supply chain security, and regulatory compliance activities
• Support the development of AI security programs covering secure architecture, monitoring, incident response, and red teaming

For organizations implementing a broader AI governance framework, ISO/IEC 42001 provides a structured approach to managing AI risks, controls, impact assessments, accountability, and continual improvement.

Educational Approach

This training course combines instructor-led lectures, hands-on lab exercises, practical scenarios, and knowledge assessments to reinforce learning.

Participants work through practical AI security scenarios designed to demonstrate how AI systems can be attacked, monitored, investigated, and protected.

The course includes:

• Instructor-led explanations of AI security concepts and practices
• Practical AI security laboratory exercises
• Real-world AI security scenarios
• Prompt injection testing exercises
• AI red teaming activities
• Threat intelligence workflows
• AI-assisted malware analysis and reverse engineering
• Security monitoring and incident response scenarios
• Knowledge checks and practice quizzes
• Practical examples of AI security controls and defensive techniques

The quiz structure within the course is designed to help participants prepare for the certification examination while reinforcing the key concepts covered throughout the training.

PECB offers various training course delivery formats, from traditional classroom settings to modern, technology-driven solutions. To learn more about these formats, please click here.

Prerequisites

Candidates are expected to have a solid foundation in core cybersecurity and information security concepts.

Familiarity with general security principles, including threat modeling, access control, incident response, security monitoring, and risk management, is recommended.

A basic understanding of artificial intelligence and machine learning is also expected, including familiarity with concepts such as model training, data pipelines, AI models, APIs, and AI-enabled applications.

Professionals who are new to AI governance can first build their foundational knowledge through the PECB ISO/IEC 42001 Foundation Certification.

Professionals who want to specialize in implementing an Artificial Intelligence Management System can progress to the PECB ISO/IEC 42001 Lead Implementer Certification.

Those interested in auditing AI management systems can explore the PECB ISO/IEC 42001 Lead Auditor Certification.

For professionals building practical AI governance documentation, Risk Professionals also offers the ISO/IEC 42001 + EU AI Act Document Kit, which supports AI governance, risk management, security, compliance, and certification readiness.