Dev.to
7/8/2026

The original title is "LLM Guardrails Explained: Prompt Injection, PII Detection & Content Moderation"
Original: LLM Guardrails Explained: Prompt Injection, PII Detection & Content Moderation
Short summary
LLM guardrails are automated rules that scan requests before they reach the model, acting as a firewall against prompt injection, PII leakage, and policy violations. The article covers system rules (prompt injection detection, jailbreak prevention, PII/secrets detection) and custom rules (blocked terms, regex patterns, topic restrictions), with three enforcement actions: block, redact, or warn. Best practice is to start in warn mode, review violations, then gradually enforce block or redact once detection accuracy is validated.
- •Guardrails sit between your app and the LLM, scanning every message for security threats, sensitive data, and policy violations
- •System rules cover prompt injection, jailbreaks, PII, secrets, file types, and document leakage; custom rules handle org-specific needs
- •Start with warn-only mode, review the violations dashboard, then move rules to block or redact once false positives are understood
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