🤖 AI + SECURITY
AI Model Hacking • Prompt Injection • Jailbreaks • RAG & Agent Exploitation
🎯 Course Objective
- Understand how modern AI & LLM systems actually work internally
- Exploit prompt injection, jailbreaks & instruction bypass techniques
- Attack real-world AI apps, RAG systems & AI agents
- Defend AI models used in startups & enterprises
- Become industry-ready as an AI Security / Red Team professional
🚀 What You Will Be Able To Do
- Hack AI chatbots without touching source code
- Extract hidden system prompts & internal instructions
- Poison RAG knowledge bases silently
- Abuse AI agents & tool-calling features
- Secure AI systems against real-world attacks
📘 Course Modules (20 Modules)
Module 1 – Introduction to AI & LLM Security
- AI vs ML vs LLM explained simply
- Why AI security is the next hacking frontier
- Real-world AI breaches
Module 2 – How Large Language Models Work
- Transformers & attention basics
- Tokens, embeddings & inference
- Why hallucination happens
Module 3 – Real-World AI Application Architecture
- Chatbot & API-based systems
- RAG pipelines
- AI agents & tools
Module 4 – Threat Modeling AI Systems
- OWASP Top 10 for LLMs
- Trust boundaries in AI apps
- Attacker mindset
Module 5 – Prompt Engineering (Offensive View)
- System vs developer vs user prompts
- Instruction hierarchy abuse
- Role manipulation
Module 6 – Prompt Injection Fundamentals
- Direct prompt injection
- Instruction override attacks
- Why filters fail
Module 7 – Advanced Prompt Injection & Jailbreaks
- Multi-step jailbreaks
- Role-play exploits
- Context confusion attacks
Module 8 – Data Leakage & System Prompt Extraction
- Hidden system prompt leaks
- Training data exposure risks
- Sensitive data extraction
Module 9 – Indirect Prompt Injection
- Injection via PDFs & documents
- Stored prompt injection
- Web-based attacks
Module 10 – RAG (Retrieval Augmented Generation) Attacks
- RAG internals explained
- Knowledge base poisoning
- Context hijacking
Module 11 – AI Agent Hacking
- Agent architecture
- Tool abuse & command execution
- Privilege escalation via agents
Module 12 – Plugin & Tool Exploitation
- Third-party tool risks
- Permission abuse
- API chaining attacks
Module 13 – AI API Attacks
- Rate-limit bypass
- Token abuse
- Cost exhaustion attacks
Module 14 – Model Inversion & Privacy Attacks
- Membership inference
- Training data recovery
- Privacy risks
Module 15 – Adversarial Prompt Attacks
- Adversarial inputs
- Prompt obfuscation
- Model confusion techniques
Module 16 – AI Malware & Weaponization Risks
- AI-generated malware concepts
- Automation of cybercrime
- Defensive awareness
Module 17 – Defending Against Prompt Injection
- Prompt hardening
- Output validation
- Defense-in-depth
Module 18 – AI Security Monitoring
- Detecting malicious prompts
- Logging & alerting
- AI SOC concepts
Module 19 – AI Red Teaming & Bug Bounty
- AI red team methodology
- Safe testing practices
- Reporting AI vulnerabilities
Module 20 – Capstone Project (Expert)
- Build a vulnerable AI app
- Exploit & defend it end-to-end
- Create a professional AI security report
⚠️ All demonstrations are performed in isolated lab environments only.
This course focuses on responsible AI security research and defense.
Unauthorized testing on live systems is illegal.
🧰 Tools & Technologies Covered
- OpenAI / Anthropic / Gemini style LLM APIs
- Custom AI Chatbot & LLM Applications
- LangChain (Agents, Tools, Chains)
- LlamaIndex (RAG pipelines)
- Vector Databases (FAISS, Chroma, Pinecone concepts)
- Prompt Injection Testing Frameworks
- Python for AI Security Testing
- Burp Suite for AI API Testing
- Postman for LLM API Abuse
- Custom Prompt Fuzzers & Payloads
- RAG Poisoning Scripts
- AI Agent Tool Abuse Labs
- Logging & Monitoring Tools for AI Systems
- Basic ML Model Evaluation Utilities
- GitHub AI Security Research Repositories
🎓 Career Outcomes After This Course
- AI Security Researcher
- AI Red Team Engineer
- Prompt Injection Specialist
- LLM Security Analyst
- AI Application Security Consultant
- Bug Bounty Hunter (AI Programs)
- AI Risk & Compliance Analyst
- Security Engineer for AI Startups
- AI Product Security Engineer
- Independent AI Security Researcher
🔥 Why This AI Security Course Is Different
- Not theory – real attack & defense labs
- Designed for hackers & security professionals
- Covers both offensive & defensive AI security
- Rare niche with massive future demand
- Perfect addon with Ethical Hacking & SS7 skills
- Industry-ready & research-oriented syllabus