데브허브 | DEVHUB | Scan 1000+ Vulnerabilities using AI Agents in Minutes! (LLAMA 3)
🔒 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/49083ozhttps://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!
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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
