Features, pricing, ratings, and pros & cons — compared head-to-head.
LLM Guard is a free llm guardrails tool. Promptfoo Guardrails is a commercial llm guardrails tool by Promptfoo. Compare features, ratings, integrations, and community reviews side by side to find the best llm guardrails fit for your security stack.
Teams building internal LLM applications on tight budgets will find LLM Guard's free toolkit most valuable for its prompt injection detection and data leakage prevention, which address the attack vectors that matter most in early deployment phases. The 2,043 GitHub stars and active community indicate a maintained project with enough adoption to validate its sanitization approach against real-world LLM risks. Skip this if you need commercial SLA support, managed infrastructure, or detection beyond prompt-level threats; LLM Guard is a self-hosted library for teams comfortable building guardrails themselves, not a hosted API or platform.
Security teams deploying multiple LLM applications will prefer Promptfoo Guardrails because the adaptive feedback loop actually reduces false positives over time instead of requiring constant manual tuning like static guardrails do. The self-improving mechanism learns from your red team findings and feeds them back into active defenses, which meaningfully shrinks alert fatigue within weeks of deployment. Skip this if you need guardrails for a single internal chatbot or lack red teaming capacity; the tool's strength compounds with scale and organized adversarial testing.
LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
Adaptive LLM guardrails that self-improve via red team feedback loops.
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Common questions about comparing LLM Guard vs Promptfoo Guardrails for your llm guardrails needs.
LLM Guard: LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks..
Promptfoo Guardrails: Adaptive LLM guardrails that self-improve via red team feedback loops. built by Promptfoo. Core capabilities include Adaptive guardrails that learn from red team findings over time, Feedback loop between red teaming and active defenses, Third-party guardrail validation and independent verification..
Both serve the LLM Guardrails market but differ in approach, feature depth, and target audience.
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