A 41-module offensive AI security course — prompt injection, autonomous agent exploitation, RAG and vector database risks, MCP protocol attacks and AI-powered pentesting automation, every topic paired with hands-on labs.
AI is already embedded in enterprise applications and developer workflows — and it brought prompt injection, data poisoning, insecure agent tool use and protocol-level attacks with it.
Six focus areas that carry through all 41 modules of the course.
Tokens, transformers, inference flow and the OWASP Top 10 for LLMs.
Direct, indirect and multi-layer prompt manipulation plus defenses.
Autonomous agent abuse, vector database and embedding vulnerabilities.
Training data poisoning, model inversion and supply chain risk.
Traffic analysis, tool hijacking, token theft and control bypass.
Burp Suite integration, automation and local LLM deployment.
The 41 modules are sequenced from LLM fundamentals through to advanced exploitation.
Click a module to see what it covers.
Understand how LLMs work internally including tokens, transformers, and inference flow. Build a strong base for AI security concepts.
Explore the major risks identified in LLM applications and how they impact enterprise systems.
Hands-on setup of a working lab to safely test AI vulnerabilities and attacks.
Learn how attackers manipulate prompts and how to design defenses against them.
Understand hidden and multi-layer prompt injection methods used in real-world attacks.
Analyze how AI agents can be abused to perform unintended actions.
Identify how AI generates incorrect outputs and the business risks involved.
Learn how data leaks occur and how to prevent exposure of confidential information.
Understand risks from third-party models, APIs, and integrations.
Explore how training data can be manipulated to compromise AI behavior.
Learn how improper handling of AI outputs can lead to vulnerabilities.
Understand how attackers extract hidden system instructions.
Learn risks in embeddings and vector search systems.
Compare Retrieval-Augmented Generation with traditional LLM models.
Design scalable and secure AI chatbot systems.
Understand how attackers extract sensitive data from AI systems.
Implement validation strategies for secure AI inputs.
Explore injection risks in UI layers interacting with AI.
Understand command-level attacks triggered via AI.
Learn how hidden metadata can leak sensitive information.
Understand how attackers alter AI memory behavior.
Introduction to MCP and its role in AI ecosystems.
Practical setup for testing MCP-related vulnerabilities.
Breakdown of MCP architecture and modules.
Capture and analyze MCP communication.
Understand exploitation techniques targeting MCP tools.
Compare attack strategies on different resource types.
Identify risks of internal data leaks.
Explore command injection specific to MCP.
Understand misuse of MCP resources.
Learn how attackers override tools in MCP.
Techniques to evade MCP defenses.
Understand session compromise methods.
Learn how AI can be used to execute malicious code.
Identify access control flaws in AI applications.
Deploy and manage local LLMs securely.
Understand steps to create custom AI models.
Use AI within security testing workflows.
Automate security testing using AI tools.
Enhance developer productivity using AI assistants.
Apply all learned techniques to identify and exploit chatbot vulnerabilities.
Missing one? Book a free demo — we’ll help you pick the right starting point.
A glimpse of the AI attack-chain approach used throughout the course.
No hidden charges. Ask us about instalments or group rates if you need them.
Outside India or after hours? Fill the enrollment form instead — we reply by email.
Regular fee ₹56,500 applies once the 5 Oct batch opens.
Not ready to decide? Sit in on a free demo class first — nothing to pay until you’re sure.
Unedited reviews our students left on Google.
The AI Security training I took from Ignite Technology exceeded my expectations. The instructor, Priti, not only explained the concepts theoretically but also clearly demonstrated how we should think and approach them in real-world scenarios. From a security perspective, the discussion around risks, attack surfaces, and defense strategies of AI systems was truly eye-opening.
I recently completed the AI Pentesting training with Ignite Technologies, and it was a great learning experience. The training was well-structured, practical, and focused on real-world concepts. A special thanks to Priti Madam for explaining complex topics in a simple and easy-to-understand way. The hands-on approach and practical examples made the sessions very valuable.
Ignite technologies a known for its research and innovation especially in the field of offensive security. It not only provides great trainings but also educate Infosec community sharing great resources through articles and research papers.
I recently completed training at Ignite Technologies, and I couldn't be more impressed with the experience. Raj Sir and his team are incredibly knowledgeable ad passionate about latest Pentesting techniques, which makes complex topics easy …
Great place to learn with awesome content and articles to be in sync with the cyber world.
Top notch instructors with real world experience. Highly recommend.
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