AI Guardrails and Content Filtering
How to design guardrails and content filters for AI applications, including input checks, output checks, layered defenses, and trade-offs between safety and usefulness.
·4 min read · #ai#safety#guardrails
4 posts · page 1 of 1
How to design guardrails and content filters for AI applications, including input checks, output checks, layered defenses, and trade-offs between safety and usefulness.
A guided tour of the most common undefined behavior traps in C++ and the habits, tools, and language features that help you avoid them in production code.
Practical defenses against prompt injection, role hijacking, and policy bypasses in production LLM systems, with layered controls that actually work.
How prompt injection attacks work, why simple filters fail, and the layered defenses production LLM systems should deploy.