Compare LLM Guard to these popular alternatives based on real-world usage and developer feedback.

Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement.

A breakthrough approach to securing applications built with AI assistance. SecVibe complements your existing security stack with specialized controls.

LangProtect is an AI security firewall that protects LLM and GenAI applications at runtime. It blocks prompt injection, jailbreaks, and sensitive data leakage while enforcing customizable security policies. Built for enterprise and regulated teams, it delivers real-time protection, visibility, and audit-ready governance.

AI security gateway for Apache APISIX. 100% air-gapped, Open Source core. CPU-capable, GPU-optional. Protect LLMs from prompt injection, PII leaks, and data exfiltration. GDPR, EU AI Act, SOC2, HIPAA compliant. Your data never leaves your VPC.
Clawsec is an open-source security plugin that blocks dangerous actions in under 5ms. One command: openclaw plugins install clawsec

Privacy-first AI assistant that protects sensitive information while preserving context.

It is an open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs).

It is a self-hardening prompt injection detector. It is designed to protect AI applications from prompt injection (PI) attacks through a multi-stage defense.

It is an open-source toolkit for monitoring Large Language Models (LLMs). It extracts signals from prompts & responses, ensuring safety & security.

It is a robust static analysis framework for validating that LLM-generated structured output is safe. It currently supports SQL.