How to Pentest LLMs Like a Security Researcher Cybersecurity

Are LLMs and AI apps really secure? In this podcast, we break down LLM security, prompt injection, LLM penetration testing, and the real vulnerabilities attackers look for when testing AI systems. From reconnaissance and enumeration to payload manipulation and lab-based exploitation, this session shows how traditional web application security testing differs from LLM security testing in real-world environments.Youtube : https://m.youtube.com/@darshanhackzInstagram : https://www.instagram.com/darshanhackzX : https://x.com/darshanhackzSecurity researcher Darshan Naik joins the discussion to explain common LLM vulnerabilities such as prompt injection, hallucinations, excessive agency, information disclosure, insecure integrations, and API misuse. The session also explores how weak validation, poor segmentation, and insecure AI workflows can expose sensitive data or create paths to unauthorized access. Practical examples and lab walkthroughs make the concepts easy to understand for both security professionals and learners.In this video, you’ll learn:How LLM penetration testing is different from traditional web app pentestingHow attackers identify whether a target is using a real LLM or static AIWhat prompt injection looks like in practiceWhy hallucinations, insecure permissions, and excessive agency create riskHow API integrations and AI agents can increase the attack surfaceWhy validation, segmentation, and secure implementation matterHow to use labs and practical exercises to improve AI security testing skillsWhat defenders should do to reduce LLM security vulnerabilitiesThis episode is useful for:penetration testersbug bounty huntersAI security researchersAppSec professionalsred teamersdevelopers building LLM applicationssecurity leaders exploring AI riskWhether you are testing AI chatbots, reviewing LLM security posture, or learning how modern attackers abuse AI systems, this conversation gives you a practical starting point.Subscribe for more content on AI security, LLM hacking, prompt injection, penetration testing, AppSec, and cybersecurity research.GEN AI Securityhttps://www.youtube.com/watch?v=aTJPKifa1VM&t=489s&pp=ygUPZ2VuIGFpIHNlY3VyaXR5#LLMSecurity #PromptInjection #AISecurity #Pentesting #CyberSecurity