🔥 Ready to go hands-on with 𝐋𝐋𝐌 𝐑𝐞𝐝 𝐓𝐞𝐚𝐦𝐢𝐧𝐠? Join the 𝐋𝐋𝐌 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐑𝐞𝐝 𝐓𝐞𝐚𝐦𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 – the ultimate 2-day deep dive into 𝐚𝐭𝐭𝐚𝐜𝐤𝐢𝐧𝐠 & 𝐝𝐞𝐟𝐞𝐧𝐝𝐢𝐧𝐠 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. 🗓️ Nov 1–2, 2025 | 🕖 7–11 PM IST | 💻 Online 💥 Early Bird: ₹999 + GST / $75 USD Get trained by industry experts Avnish Naithani & Ashish Dhyani and master 15+ AI security tools. Earn 𝟔 𝐂𝐏𝐄 𝐜𝐫𝐞𝐝𝐢𝐭𝐬 and take home 𝐋𝐋𝐌 𝐚𝐭𝐭𝐚𝐜𝐤 & 𝐝𝐞𝐟𝐞𝐧𝐬𝐞 𝐩𝐥𝐚𝐲𝐛𝐨𝐨𝐤𝐬 that actually work. Limited seats — don’t miss out! 📩 For Queries: sales@infosectrain.com

1. 7:00 PM – 11:00 PM (IST)
01–02 November 2025
Masterclass
LLM Security &
Red T
eaming
2 Days Hands-on Sessions 15+ AI Tools Online

2. Why Attend This Masterclass?
Large Language Models (LLMs) are transforming industries—but with innovation
comes new vulnerabilities and attack surfaces. This intensive 2-day masterclass
blends foundational knowledge with practical red-teaming techniques, equipping
you to test, defend, and secure AI systems using real-world adversarial strategies.
Key Takeaways
8 CPE Credits Issued on
Completion
Guidance from Seasoned
Practitioners
Attack & Defense Playbooks Interactive Red Team Labs
Actionable Security
Techniques
15+ Cutting-Edge AI
Tools

3. Speakers Lineup
Avnish
7+ Years of Experience
AI Security Expert | Information Security | Cloud Security |
Data Security | Consultant & Trainer
Summary
Avnish is an experienced Information security & Cloud Security Consultant and
Trainer with over 7 years of expertise, specializing in cloud security, AI-assisted
threat detection and securing AI systems. He has delivered tailored training
globally across various sectors, equipping professionals with practical
cybersecurity, cloud security and AI security skills.
Ashish
10+ Years of Experience
AI Red Teaming Expert | Network+ | Security+ | Pentest+ |
CEH | CND | ECSA | CCNA | ECDE | CPENT | LPT | OSCP
Summary
Ashish is a cybersecurity and network security trainer who delivers 30+ programs
annually to professionals worldwide. He has expertise in vulnerability
assessments, penetration testing, OSINT, threat intelligence, digital forensics, and
AI-powered security training, equipping learners with skills in machine learning–
based threat detection and anomaly analysis. Known for strong exam success
rates and customized content, he has trained government and corporate clients in
CCNA, CEH v11, Pentest+, Linux+, Microsoft Windows Server 2016, and more,
while guiding professionals in network administration, troubleshooting, traffic
analysis, and defense against evolving threats.

4. Masterclass Agenda
Day 1: Introduction to AI and LLM Security by Avnish (7 PM – 11 PM)
Demystifying the core concepts and components of an AI system
Types of AI Systems: Machine Learning, Deep Learning, Generative AI,
Agentic AI
Building and deploying AI – Model Development Lifecycle
Understanding LLMs: Transformer Architecture, Pre-training and Fine Tuning
LLM Applications: Chatbots, Code Generation, Cybersecurity Use Cases
AI and GenAI Frameworks: Scikit-learn, Tensorflow, AutoML, Hugging Face,
LangChain, Llamaindex, OpenAI API, Ollama, LMStudio
Security Considerations while Developing and Deploying AI Systems

5. Day 2: AI and LLM Red Teaming by Ashish (7 PM – 11 PM)
Introduction to AI Red Teaming – What is it and why it is needed?
Attack Families for AI Red Teaming: Poisoning, Injection, Evasion, Extraction,
Availability, Supply Chain
LLM01: Prompt Injection – Direct and Indirect
LLM02: Sensitive Information Disclosure – Data exfiltration
LLM03: Supply Chain – Malicious Packages and Models
LLM04: Data and Model Poisoning – Poisoning datasets and models during
training and fine-tuning
LLM05: Improper Output Handling – Injection via model outputs
LLM06: Excessive Agency – Agents with dangerous privileges
LLM07: System Prompt Leakage – Exposing hidden system instructions
through crafted queries
LLM08: Vector and Embedding Weaknesses
LLM09: Misinformation – Detecting Hallucinations
LLM10: Unbounded Consumption – Resource abuse and DOS Attacks
Tools and Frameworks for LLM Red Teaming: Cleverhans, Foolbox,
Adversarial Robustness Toolbox

6. Contact us
sales@infosectrain.com
www.infosectrain.com