AI & Cybersecurity

Currently Playing: LLM Security Guide: Preventing RAG Poisoning & Supply Chain Attacks

In Part 3 of our OWASP Top 10 for LLMs series, we dive deep into the critical threats of AI Data Poisoning, RAG (Retrieval-Augmented Generation) Exploits, and LLM Supply Chain Attacks. If you are building or integrating AI applications, securing your vector databases and machine learning pipelines is non-negotiable. Many developers unknowingly expose their AI apps by using untrusted third-party models or vulnerable serialization formats (like Python Pickle), which can lead to arbitrary code execution. In this technical breakdown, we explain how hackers manipulate training data and bypass security policies, and what you can do to stop them. 📌 What you’ll learn in this video: How LLM Supply Chain vulnerabilities allow attackers to compromise AI applications from the ground up. The mechanics of Data Poisoning and how bad actors manipulate your model's behavior. Why RAG setups and Vector Databases (like Chroma or Pinecone) are becoming prime targets. The dangers of untrusted models and serialization threats. Best practices and mitigation strategies to secure your AI infrastructure. 🔔 Don't forget to Subscribe! Stay ahead of the latest cyber threats. SUBSCRIBE to our channel for expert breakdowns on AI security, vulnerability management, and modern cybersecurity strategies. #OWASP #LLMSecurity #Cybersecurity #DataPoisoning #ArtificialIntelligence