AI & Cybersecurity

Currently Playing: Countering LLM Hallucinations with RAG powered by Transilience AI | KK Mookhey

LLM Hallucinations Exposed: Why AI Gets It Wrong & How RAG Fixes It. Ever wonder why different AI models give you conflicting answers to the same question? This deep dive explores the critical problem of LLM hallucinations - when AI confidently generates false information that sounds completely authoritative. Presented by: KK Mookhey, Founder & CEO | Connect with KK on https://www.linkedin.com/in/kkmookhey/ What You'll Learn: • Real examples of AI hallucinations across ChatGPT, Claude, Gemini, and other LLMs • Why PCI DSS TLS requirements trip up even the best AI models • How fabricated CVEs and fake compliance data can mislead cybersecurity teams • The principles-based vs. rule-based challenge that confuses AI systems Solutions Covered: • Retrieval-Augmented Generation (RAG) - The game-changing approach to grounding AI in facts • Hands-on demo of Google Notebook LM for building your own RAG system • Challenge-response mechanisms for validating AI outputs • Custom RAG applications for enterprise use Key Examples Analyzed: • PCI DSS TLS version requirements (spoiler: it's more nuanced than AI thinks!) • Fake Fortinet vulnerability reports with made-up CVE numbers • Misquoted NIST AI Risk Management Framework requirements • Cross-LLM comparison showing contradictory answers Perfect For: Cybersecurity professionals, Compliance officers, AI practitioners and developers, Business leaders evaluating AI tools, anyone concerned about AI accuracy and reliability Tools Demonstrated: • Google Notebook LM (free RAG implementation) • Custom enterprise RAG systems by Transilience AI • Multi-LLM validation frameworks Key Takeaway: While LLMs are powerful, they shouldn't be trusted blindly for critical decisions. RAG technology bridges the gap between AI creativity and factual accuracy, making AI truly enterprise-ready. Why This Matters: In regulated industries like finance, healthcare, and cybersecurity, AI hallucinations aren't just inconvenient - they can lead to compliance failures, security gaps, and damaged reputations. Timestamps: 0:00 Introduction to LLM Hallucination 0:53 PCI DSS TLS Requirements Test 2:22 Cross-LLM Comparison Results 5:36 Real-World Hallucination Examples 12:34 What is RAG (Retrieval-Augmented Generation)? 14:27 Google Notebook LM Demo 18:25 Custom RAG Implementation 19:58 Challenge-Response mechanisms #AI #LLM #ChatGPT #Hallucination #RAG #RetrievalAugmentedGeneration #Cybersecurity #PCIDSS #AIAccuracy #MachineLearning #ArtificialIntelligence #TechTutorial #AITools #NotebookLM #AIValidation #TransilienceAI #KKMookhey Subscribe for more AI insights, cybersecurity deep dives, and practical tech tutorials from KK Mookhey and the Transilience AI team! Access the detailed workshop content, including key topics, frameworks, and practical takeaways, here: https://docs.google.com/document/d/1NkGZthHxy3QWdkyeDKC_TB2gFOk2H0n-BKZVZjXwq-Q/edit?usp=sharing