AI Security & Threat Modeling
Master security best practices for AI systems including threat modeling, secure deployment, and protection against AI-specific attacks like prompt injection and model extraction.
AI-Specific Threat Landscape
04-ai-security.mdx#ai-threat-landscape
Detecting Prompt Injection Attempts
Defending Against Model Extraction
Authentication & Authorization for AI
04-ai-security.mdx#authentication-authorization
JWT Authentication for AI Endpoints
Role-Based Access Control for AI Services
Input Validation & Sanitization
04-ai-security.mdx#input-validation
Prompt Sanitization Pipeline
Content Filtering for AI Inputs
Rate Limiting & DDoS Protection
04-ai-security.mdx#rate-limiting-ddos
Token Bucket Rate Limiter
Cloudflare DDoS Protection Setup
Secure Model Deployment & Storage
04-ai-security.mdx#secure-deployment
Encrypting AI Models at Rest
Secure Model Inference Pipeline
Privacy-Preserving AI Techniques
04-ai-security.mdx#privacy-preserving
Implementing Differential Privacy
Federated Learning Setup
Threat Modeling for AI Systems
04-ai-security.mdx#threat-modeling
Security Monitoring & Incident Response
04-ai-security.mdx#security-monitoring
AI Usage Anomaly Detection
Comprehensive Security Logging
Compliance & Regulatory Considerations
04-ai-security.mdx#compliance
Hands-On: Secure AI Endpoint Implementation
04-ai-security.mdx#hands-on-exercise