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 best practices. Through a combination of theory and practical application, participants will learn how to protect AI models, data, infrastructures, and operations against emerging threats.
The course also addresses how AI can be leveraged as a defensive capability, covering AI-driven security monitoring, threat hunting, threat intelligence, and AI-assisted security analysis.
Why Should You Attend?
Artificial intelligence systems introduce security risks that extend well beyond traditional cybersecurity controls. Unlike conventional software, AI systems can be manipulated through their inputs, corrupted through their training data, compromised through their supply chains, and exploited through the tools and permissions they are granted often in ways that leave no trace in standard security logs. Security professionals who work with or around AI systems need a fundamentally different set of competencies from those that protect traditional IT environments, and this course is designed to build exactly those competencies.
In this course, participants will develop a thorough understanding of how AI systems are attacked, how they are defended, and how they are governed, moving from foundational AI security concepts through to hands-on practical application.
The training course includes lab exercises that give participants direct experience with real-world AI security tools and techniques, including prompt injection testing, AI red teaming, threat intelligence workflows, and malware analysis using AI-assisted reverse engineering tools. These labs are designed to reinforce the technical content of each section and ensure that participants leave the course with skills they can apply immediately in their professional roles.
By the end of the course, participants will be equipped to assess the security posture of AI systems, implement appropriate controls, respond to AI security incidents, and support their organization’s AI governance and compliance obligations.
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 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
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, and security monitoring, is expected. A basic understanding of how machine learning systems work, including awareness of concepts such as model training, data pipelines, and API-based services, is also expected.
Course agenda
DAY 1 | AI, ML, and deep learning fundamentals
DAY 2 | LLM architecture, training workflows, and attack tactics
DAY 3 | AI security controls and mitigation strategies
DAY 4 | Detection, response, and secure deployment
DAY 5 | Certification exam
Training material
The participant will receive training material containing more than 320 pages of information and practical examples in electronic form via the PECB account. As part of the full-time course, the participant will also receive printed training materials.
Examination
The “PECB Certified EU AI Governance Professional” exam fully meets the PECB Examination and Certification Program (ECP) requirements. It covers the following competency domains:
- Domain 1: Security foundations for AI and ML
- Domain 2: AI attack techniques and adversarial threats
- Domain 3: AI security controls and defensive operations
- Domain 4: AI enhanced security analysis and threat intelligence
- Domain 5: AI governance, risk management, and secure architecture
For specific information about exam type, languages available, and other details, please visit the List of PECB Exams and the Exam Rules and Policies.
Price
The price includes participation in the course, electronic training materials, exam and PECB certification fees. In addition, the price of the full-time course includes a printed copy of the training material, lunch on the training days and refreshments.
Certification
After passing the exam, you can apply for one of the credentials in the table below. You will receive a certificate once you fulfill all the requirements of the selected credential. For more information about the PECB certification process, please refer to Certification Rules and Policies.
The certification requirements for EU AI Governance Professional are:
