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🔒 Revolutionary AI-Powered Vulnerability Analysis using NVIDIA Morpheus & Llama 3.1 70B Discover how to implement automated vulnerability analysis for container security using cutting-edge AI technology. Learn to set up a complete security scanning pipeline that analyzes thousands of vulnerabilities in seconds! https://nvda.ws/49083oz 🔥 What You'll Learn: Set up Morpheus in cloud environment Implement automated vulnerability scanning Use NVIDIA AI Blueprint for container safety Deploy Llama 3.1 70B for intelligent analysis Configure real-time VEX justification Set up NIM agents for automated verification 🛠️ Technologies Used: NVIDIA Morpheus Cybersecurity SDK Llama 3.1 70B Instruct NVIDIA AI Blueprint Docker containers Metal LLM NIM microservices 💻 Prerequisites: Basic understanding of containers Access to GPU (A100 recommended) NVIDIA API key Sur API key Docker knowledge 🔗 Important Links: NVIDIA API Key: https://build.nvidia.com Serp AI API: https://serpapi.com/ Full MAIN Documentation: https://nvda.ws/49083oz https://github.com/brevdev/notebooks/... https://mer.vin/2024/12/nvidia-bluepr... 📦 Required Packages: NVIDIA Container Runtime Docker Compose Python OpenAI SDK Git ⚡ Key Features: Automated vulnerability analysis Intelligent verification process Real-time VEX justification Upstream vulnerability scan triggers Container security scanning AI-powered verification in seconds 🎯 Use Cases: Pre-deployment security checks Continuous security monitoring Container vulnerability assessment Automated security compliance DevSecOps integration ❗ Important Notes: All code and configuration files available in description Both NVIDIA-hosted and self-hosted options available Requires GPU support for optimal performance Regular updates recommended for security patches 🤝 Special thanks to NVIDIA for sponsoring this video! 💪 Support the Channel: Like and Subscribe for more AI security content Hit the notification bell to stay updated Share with your network if you found it helpful Comment your questions and experiences below Timestamp: 0:00 - Introduction to AI Vulnerability Analysis 0:47 - Container Security Analysis Demo 1:40 - Project Setup Overview 2:04 - Architecture & Technology Stack 2:45 - Deployment Process Begins 3:15 - Step 1: Computing Setup 3:58 - Step 2: Installation Process 5:24 - Step 3: Scanner Configuration 6:31 - Step 4: Vulnerability Analysis 8:11 - Integration with LLAMA Model 9:19 - Deployment Options (NVIDIA vs Self-hosted) 10:12 - Conclusion #AI #CyberSecurity #NVIDIA #ContainerSecurity #DevSecOps #CloudComputing #MachineLearning #TechTutorial #Programming #Security