PECB Certified AI Security Professional (CAISP) – Self-Study
PECB Self-Study Training
Strengthen your ability to identify, assess and manage cybersecurity threats affecting artificial intelligence systems, machine learning models, large language models and AI-enabled applications.
The PECB Certified Artificial Intelligence Security Professional (CAISP) training course develops specialised knowledge of AI security threats, adversarial attacks, defensive controls, secure AI architectures, security monitoring and incident response.
Study independently using official PECB learning materials, without scheduled classes or instructor-led attendance.
What’s Included
Official PECB Self-Study learning materials provided through the applicable enrolment process
12 months of access to the applicable course materials and examination package, subject to PECB terms
PECB examination package, including the first exam attempt and one eligible retake
Certification application fee and first-year PECB Annual Maintenance Fee included where applicable
CyberCognize PECB Enrolment & Next Steps Guide and enrolment support
Course: Certified Artificial Intelligence Security Professional (CAISP)
Delivery: Self-Study
Study mode: Independent self-study
Access: 12 months, subject to PECB terms
Course Overview
The PECB Certified Artificial Intelligence Security Professional training course focuses on securing AI systems throughout their development, deployment and operational lifecycle.
Participants explore the architecture and security characteristics of machine learning, deep learning, large language models and AI agents.
The course examines threats such as prompt injection, data poisoning, model extraction, adversarial manipulation and AI supply chain compromise.
It also addresses security architecture, defensive operations, incident response, AI-enhanced security analysis, threat intelligence and AI security governance.
Who Should Attend
Cybersecurity and information security professionals
Security architects and cybersecurity consultants
SOC analysts and threat intelligence professionals
AI and machine learning engineers
AI developers and data scientists
Security risk and compliance professionals
Technology managers responsible for AI security strategy
Professionals evaluating or securing AI-enabled applications
Prerequisites
Participants should be familiar with general cybersecurity principles, including threat modelling, access control, incident response and security monitoring.
A basic understanding of machine learning concepts, model training, data pipelines and API-based services is also expected.
Learning Objectives
Upon completing the training, participants should be able to:
Explain the operation and security characteristics of machine learning, deep learning, large language models and AI agents.
Identify security risks arising throughout the AI development and deployment lifecycle.
Analyse AI-specific threats using recognised frameworks, including MITRE ATLAS and the OWASP LLM Top 10.
Assess adversarial attacks targeting AI applications, models, data and supporting infrastructure.
Apply security controls and defensive strategies for AI-enabled systems.
Support AI security monitoring, threat intelligence and incident response.
Incorporate AI security considerations into governance, risk management and secure architecture practices.
Course Outline
AI, machine learning and deep learning security foundations
Large language models, AI agents and model training workflows
AI threat modelling and adversarial attack techniques
Prompt injection and model manipulation
Data poisoning, model extraction and AI supply chain threats
MITRE ATLAS and OWASP LLM security considerations
AI security architecture and defensive controls
Security monitoring, detection and incident response
AI-enhanced security analysis and threat intelligence
AI governance, risk management and secure deployment
Exam & Certification
Exam Details
Exam: PECB Certified Artificial Intelligence Security Professional
The examination covers five competency domains:
Security foundations for AI and machine learning
AI attack techniques and adversarial threats
AI security controls and defensive operations
AI-enhanced security analysis and threat intelligence
AI governance, risk management and secure architecture
The examination format, languages and available delivery options are governed by the current PECB examination arrangements.
After successfully passing the examination, candidates may apply for an eligible PECB credential.
Certification Requirements
PECB Certified Provisional Artificial Intelligence Security Professional
Pass the applicable PECB certification examination
No professional experience required
No project experience required
Sign the PECB Code of Ethics
PECB Certified Artificial Intelligence Security Professional
Pass the applicable PECB certification examination
Five years of professional experience, including two years in information security or cybersecurity
300 hours of relevant project experience
Meet the applicable PECB certification requirements, including the Code of Ethics
Certification is not automatic upon completion of the training or passing the examination. Candidates must satisfy PECB's requirements for the relevant credential.
Self-Study Enrolment & Access
This Self-Study option is designed for cybersecurity and AI professionals who prefer independent learning using official PECB materials.
After purchase, CyberCognize will process your enrolment with PECB. Your course materials and examination arrangements will be provided according to PECB's applicable procedures and terms.
Your purchase includes the CyberCognize PECB Enrolment & Next Steps Guide, explaining what happens after checkout and how your access will be issued.
CyberCognize Pty Ltd is a PECB Authorised Training Partner. Official course content, examinations and professional certifications are provided or administered by PECB.