

AI - SECURITY WORKSHOP - Bengaluru Chapter ( Feb 2026 )
βAI - SEC Community AI SECURITY Workshop - LLM Top 10, Guardrails, Building an Agent and Agentic AI security Issues
ββπ π¨π« π¦π¨π«π π’π§ππ¨π«π¦πππ’π¨π§ :
ββWhatspp - https://chat.whatsapp.com/JymKxTZYF8WLhSoxG3Ahcr
βββLinkedin - https://www.linkedin.com/company/ai-sec-community/?viewAsMember=true
βββInstructors:
βDilip Sai - Security Engineer , Accorian https://www.linkedin.com/in/dilip-sai-a0b3861b4/
βManav Talreja - Automating GRC , Accorian https://www.linkedin.com/in/manav-talreja/
βMeenakshi Ganesh - Security Engineer , Accorian https://www.linkedin.com/in/meenakshi-ganesh-3aa2a5258/
ββAgenda:
Part 1 β Intro + Setup (1 hr) Quick intro to LLMs, what they are. Show how to deploy a small model on Colab. Interact with it using LangChain (basic example).
Part 2 β OWASP LLM Top 10 (3 hrs) Short explanation with a hands on demo for each category
Part 3 β Guardrails (1 hr) Show how guardrails work on the inside and how it impacts model answers. Followed by a demo of the same.
Part 4 β RAG (1 hr) Quick overview of RAG, vector DBs and RAG pentesting.
Part 5 β Agents + Security (1 hr) How to build an agent. Agentic AI security issues.
Q&A:
ββRequirements : 16 Gigs of RAM
Beginner level coding experience
VS Code + Python configured locally on windows
Sign up here for workshop pre-reqs: Google Colab account : https://colab.research.google.com/
βNVIDIA API key: https://build.nvidia.com/
βPortSwigger account : https://portswigger.net/web-security
βCrucible Labs account : https://platform.dreadnode.io/
βWhat not to bring? Work laptops with too many restrictions