Certified AI Security Practitioner (CAISP)v2.0 Training

Certified AI Security Practitioner (CAISP) v2.0 Training

Deep Dive into AI/ML Cybersecurity Training

Artificial Intelligence (AI) and Machine Learning (ML) are transforming cybersecurity, enabling advanced threat detection, faster response, and automation at scale. These technologies allow organizations to process vast data, derive real-time insights, and strengthen security without proportional increases in resources.

However, AI/ML adoption also introduces new risks such as data poisoning, adversarial attacks, and vulnerabilities in large language models (LLMs). Addressing these challenges requires robust governance, security testing, and alignment with global standards like ISO/IEC 42001 and NIST AI RMF.

This training equips participants with the knowledge and practical skills to secure AI/ML systems through hands-on labs, case studies, and best practices in secure MLOps. By the end, attendees will be ready to design, secure, and govern AI/ML systems that advance business goals while mitigating evolving cyber threats.

Why Attend?
• Expert-led sessions
• Hands-on labs & simulations
• Real-world case studies
• Actionable skills & takeaways

Training Details

Americas & Europe

Date: 10 -13 November 2025

Timing: 1:00 PM – 5:00 PM GMT
9:00 AM – 1:00 PM EDT

Fees
$ 159
ISACA/ ISC2 Member

Fees
$ 199
Regular Participants

Mode: Online
Region: Americas & Europe

Asia & Middle East

Date: 10 -13 November 2025

Timing: 6:00 AM – 10:00 AM GMT

Fees
$ 159
ISACA/ ISC2 Member

Fees
$ 199
Regular Participants

Mode: Online
Region: Asia & Middle East

Objectives of the Program

Grasp the fundamentals of AI and ML, and understand how they are reshaping cybersecurity

Explore real-world uses of LLMs in threat intelligence, malware detection, and SOC operations

Learn practical methods to integrate AI/ML models into existing security workflows

Recognize challenges and risks, including ethical considerations when applying AI/LLMs in security

Gain confidence through practice, with case studies and hands-on demonstrations that connect concepts to real scenarios

Winning end customer’s trust

Training Supported and Endorsed by ISACA

Know your Trainers

Swapnil currently serves as a Senior Cybersecurity Analyst at NII and Senior trainer at IIS. His work mainly focuses on Security training, Vulnerability Assessment, and Penetration Testing for NII. His technical abilities span SOC, Networks, Web Apps, Databases, Digital Forensics, Cloud Security, Red teaming, and ISO Compliance. He has 6+ years of overall experience in the field of Information security and training on relevant topics.

Swapnil Khandekar
Trainer and Cybersecurity Specialist

Certification Curriculum

Part 1

Foundations of AI/ML Risks and Cybersecurity
Welcome and Introduction
• Training objectives and agenda
• Icebreaker: AI/ML in your organization
AI/ML in Cybersecurity: Theoretical Foundations
• AI/ML in AppSec, SOC, GRC
• Risk foundations of AI/ML systems
• Standards: ISO 42001, NIST AI RMF, OWASP LLM Top 10
Emerging Cyber Risks in AI/ML
• Data leakage, adversarial attacks, model poisoning, supply chain risks

Part 2

Threat Modeling and Adversarial Testing
• Threat modeling for AI/ML systems
• Adversarial examples & robustness testing
• Lab: Adversarial Testing and Threat Modeling
Practical Prompt Engineering and LLM Usage
• Basics of prompt engineering
• Identifying and mitigating hallucinations
• Introduction to Retrieval-Augmented Generation (RAG)
• Lab: Prompt Engineering and Hallucination Mitigation

Part 3

Advanced Topics and Practical Applications
LLM-Specific Vulnerabilities and Mitigation
• Deep dive: OWASP LLM Top 10
• Threat modeling for LLMs
• Case study: Insurance chatbot exploitation
• Group exercise: Identifying risks in participant systems
Cyber Risk Audit Methodologies and Tools
• MLSecOps, ISO/IEC 42001, NIST AI RMF
• Risk audit planning, execution, and reporting
• Mock audit and incident simulation

Part 4

Hands-On: NotebookLM and Cybersecurity Projects
• NotebookLM introduction and use cases
• Lab: NotebookLM for Cybersecurity Projects
Creative Applications of LLMs
• Synthetic data, video, and image generation
• Open exploration of innovative AI security applications
• Lab: Creative Applications of LLMs
Wrap-Up and Q&A
• Summary of key takeaways
• Open discussion
• Next steps and resources

Terms and Conditions

Fees, speakers and date are subject to change.

Any cancellations received within the last ten calendar days would be liable for 50% of the course fees.

Registered attendees unable to attend may send replacements with one week’s notice; refunds are not permitted.