ai-security-projects.md

AI Security Projects

🎯 AI Security Portfolio Projects

Project 1: LLM Security Framework

Description: Secure LLM application

Features:

• Prompt injection defense
• Input validation
• Output filtering
• Guardrails

Project 2: Model Security Platform

Description: Secure ML model deployment

Features:

• Model signing
• Inference security
• Monitoring
• Threat detection

Project 3: AI Threat Detection

Description: Detect AI-specific threats

Features:

• Anomaly detection
• Attack pattern recognition
• Automated response
• Reporting

✅ Deliverables

• Security implementation
• Testing framework
• Documentation
• Monitoring setup

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