PECB APAC Conference 2026
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.
In this course, participants will develop a thorough understanding of how AI systems are attacked, defended, and governed, moving from foundational AI security concepts to hands-on 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 reinforce the technical content of each section and ensure 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.
This course is particularly advantageous and 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
By the end of this training course, the participants will be able to:
Explain the architecture and operation of machine learning, deep learning, LLMs, and AI agents, and identify risks arising from their design, training, and deployment
Analyse threats to AI and LLM systems using MITRE ATLAS and the OWASP LLM Top 10 across the AI attack life cycle
Apply AI security controls, monitoring strategies, and threat intelligence workflows to detect, contain, and investigate adversarial activity
Design and evaluate an AI security program covering incident response, supply chain governance, regulatory compliance, secure architecture, and red teaming
Comprehensive Curriculum: The course combines theoretical knowledge with real-world examples to ensure participants gain both fundamental and advanced AI concepts.
Practical Exercises: Hands-on activities and projects simulate real-life scenarios, enabling participants to apply their skills effectively.
Interactive Learning: Group discussions and collaborative tasks for deeper engagement and shared learning experiences.
Certification Readiness: The course includes quizzes and exercises that closely align with the certification exam format.
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
.svg)
.avif)
.svg)
.avif)
.avif)
Copyright 2026 NextGen Knowledge Limited.
