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| Duration | Exam | Delivery | Certificate | Level |
| 5 Days | Included | Live Online & Self-Study | PECB | Intermediate |
The Certified Artificial Intelligence Security Professional (CAISP) Training helps professionals learn how to secure AI systems throughout their life cycle.
You will learn about AI threats, vulnerabilities, risk management, governance, and security controls. The course also covers ways to protect AI models, data, systems, and operations.
Through practical labs, you will explore prompt injection testing, AI red teaming, threat intelligence, and AI-assisted malware analysis. You will also learn how AI can support security monitoring and threat detection.
Why Should You Attend?
AI systems face security risks that traditional security tools may not detect. Attackers can target AI models, training data, system inputs, and connected tools.
This course helps you understand how AI systems are attacked and how to protect them. You will learn to identify AI security risks and apply suitable controls.
Hands-on labs let you practise real-world security techniques. These include prompt injection testing, AI red teaming, and AI-assisted security analysis.
By the end of the course, you will be better prepared to assess AI security, respond to incidents, and support AI governance and compliance.
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
The “PECB Certified Artificial Intelligence Security 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
After passing the exam, you can apply for the credential shown in the table below. You will receive a certificate once you fulfill all the requirements of the selected credential.
The certificate requirements for Certified Artificial Intelligence Security Professional are:
| Professional credential | Exam | Professional experience | Project experience | Other requirements |
| PECB Certified Provisional Artificial Intelligence Security Professional | PECB Certified Artificial Intelligence Security Professional exam or equivalent | None | None | Signing the PECB Code of Ethics |
| PECB Certified Artificial Intelligence Security Professional | 5 years (2 in information or cyber security) | 300 hours |
The information or cyber activities should follow best practices and include the following:
- Assessing the security posture of AI and ML systems, including LLM-based applications, AI agents, and automated pipelines
- Analyzing adversarial threats targeting AI systems, including prompt injection, data poisoning model extraction, and supply chain compromise
- Implementing security controls for AI systems, including input validation, and output filtering
- Supporting incident response activities involving AI system failures, security compromise using SIEM integration and AI-specific telemetry
- Conducting or supporting AI red team engagements, including capabilities testing and prompt testing
- For candidates who complete a training, eLearning, or self-study course delivered by a PECB Partner, the training fee includes the first exam attempt, one free retake, the certification application fee, and the first year of the Annual Maintenance Fee (AMF). This cycle must be completed within 12 months from the course completion date for instructor-led training, or within 12 months from the purchase date for self-study and eLearning formats.
- Candidates will receive more than 320 pages of comprehensive training materials, including practical examples, exercises, and quizzes.
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be awarded to the candidate.
- If the initial exam is not passed, a free retake may be taken within 12 months of the course completion date. For self-study or eLearning courses, the 12-month period is calculated from the date of purchase.
Who Should Attend?
This course is suitable for:
- AI and machine learning engineers
- Cybersecurity and information security professionals
- Security Operations Center (SOC) analysts
- Threat intelligence professionals
- IT security architects and consultants
- Data scientists and AI developers
- Risk, compliance, and AI governance professionals
- Technology managers responsible for AI security
Learning Objectives
By the end of this course, you will be able to:
- Explain machine learning, deep learning, large language models (LLMs), and AI agents
- Identify AI security threats and vulnerabilities
- Use MITRE ATLAS and the OWASP LLM Top 10 to understand AI attacks
- Apply AI security controls and monitoring methods
- Use threat intelligence to detect and investigate threats
- Understand AI incident response and supply chain risks
- Support secure AI design, red teaming, and compliance
Educational Approach
The course combines instructor-led sessions with hands-on labs and real-world scenarios. Practical exercises help you apply the concepts to AI security challenges.
You will work with AI security tools and techniques. Practice quizzes will also help you prepare for the certification exam.
PECB offers different training formats, including classroom and technology-based learning options.
Prerequisites
Participants should have a good understanding of cybersecurity and information security. Familiarity with threat modeling, access control, incident response, and security monitoring is expected.
A basic understanding of machine learning is also recommended. You should know the basics of model training, data pipelines, and API-based services.
Need Help Before Enrolling?
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