Top Alternatives to Guardrails AI OSS
AI SecurityLooking for alternatives to Guardrails AI OSS? Open-source framework for real-time LLM safety, policy & compliance enforcement. Browse 27 similar AI Security tools below, compare features side-by-side, and find the best fit for your security stack.
27 Alternatives to Guardrails AI OSS
Adaptive LLM guardrails that self-improve via red team feedback loops.
Firewall for LLM systems preventing prompt injection, data leaks & jailbreaks
Secures homegrown AI and GenAI applications against prompt injection and abuse
AI guardrail module protecting LLMs from prompt injection and jailbreak attacks
Runtime security layer for AI agents, RAG, and MCP with real-time controls
Safety reasoning model for content classification and trust & safety apps
End-to-end LLM security platform protecting against attacks and data leakage
End-to-end LLM security platform protecting GenAI interactions & applications
Runtime security for AI models, agents, and data with guardrails and compliance
Firewall protecting LLMs from prompt attacks, data leaks, and harmful outputs
AI firewall for runtime protection of AI models, applications, and agents
Real-time AI application security with trust scoring and guardrails
Enterprise AI firewall protecting AI agents, models, and chatbots from attacks
Runtime guardrails for AI/LLM apps blocking violations in under 10ms
Real-time AI guardrails platform for detecting misuse, hallucinations & attacks
Guardrails for protecting LLM and agentic applications from harmful content
Centralized gateway for accessing and securing AI models with routing & monitoring
AI security platform & LLM guardrail solution integrated with AWS.
AI data gateway securing LLM interactions by monitoring and redacting sensitive data.
Secures AI-assisted dev environments from prompt injection, DLP, & shadow AI.
Context-aware access control for AI pipelines, LLMs, and multi-agent workflows.
AI guardrails tool for PII/PHI detection, masking & content filtering in LLM apps.
API gateway for managing, securing, and observing outbound LLM traffic.
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.
