# defense-in-depth
9 articlestagged with “defense-in-depth”
Defense Fundamentals Assessment
Test your understanding of AI defense mechanisms including input/output filtering, guardrails, sandboxing, and defense-in-depth strategies with 9 intermediate-level questions.
Defense-in-Depth for LLM Applications
Implementing layered defense architectures for production LLM applications.
Defense-in-Depth for LLM Apps
Layered defense strategy for AI applications covering network, application, model, and output layers, how each layer contributes, and why single-layer defense always fails.
Defense-in-Depth Reference Architecture
Complete reference architecture for defense-in-depth LLM application security with implementation blueprints.
Layered Defense Strategy
Implementing defense in depth for AI applications: designing independent defense layers, ensuring orthogonal coverage, and managing the complexity of multi-layer security.
Simulation: Defense in Depth
Expert-level defense simulation implementing a full defense stack including input filter, output monitor, rate limiter, anomaly detector, and circuit breaker, then measuring effectiveness against automated attacks.
Defense-in-Depth Architecture for LLM Apps
Design and implement a complete defense-in-depth architecture for production LLM applications.
Dual LLM Architecture Setup
Step-by-step walkthrough for implementing a dual LLM pattern where one model generates responses and a second model validates them, covering architecture design, validator prompt engineering, latency optimization, and failure handling.
Multi-Layer Input Validation
Step-by-step walkthrough for building a defense-in-depth input validation pipeline that combines regex matching, semantic similarity, ML classification, and rate limiting into a unified validation system for LLM applications.