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

It is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, it ensures that your interactions with LLMs remain safe and secure.

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.

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.

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

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