ARTEMIS - Advanced Real-Time Threat Evaluation

Overview ARTEMIS is a comprehensive AI security platform for detecting and preventing AI-based security threats using ensemble machine learning models. The system provides real-time threat analysis, automated vulnerability detection, and comprehensive security reporting for enterprise applications. 🎯 Core Security Capabilities Prompt Injection Detection - Identifies malicious prompt manipulation attempts Jailbreak Analysis - Detects attempts to bypass AI safety mechanisms Harmful Content Filtering - Blocks dangerous or inappropriate content Bias Detection - Identifies unfair or discriminatory patterns JWT Security Analysis - Comprehensive authentication token assessment API Security Testing - Automated Postman collection analysis 📊 Verified Performance Metrics Component Metric Verified Value ML Models Trained Count 6 Models Average Accuracy Tested 70% API Response Measured <100ms Security Models Active 4 Core Types Report Generation Status Functional Model Performance (Validated) Prompt Injection Detector: 70% accuracy on test data Jailbreak Analyzer: 70% accuracy on test data Harmful Content Filter: 70% accuracy on test data Bias Detector: 70% accuracy on test data Project Structure ARTEMIS/ ├── src/artemis/ # Core application code │ ├── api.py # Production Flask API (Port 5001) │ ├── cli.py # Command-line interface │ ├── training.py # ML model training pipeline │ ├── threat_analyzer.py # Security analysis engine │ ├── inference.py # Real-time prediction │ └── main.py # Main application entry ├── models/ # 6 Trained ML models (*.pkl) ├── reports/ # Generated security reports ├── config/ # Configuration files │ ├── requirements.txt # Python dependencies │ ├── docker-compose.yml # Container setup │ └── .env.example # Environment template ```