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The best OpenAI Guardrails alternatives
The rest of Best AI Guardrail Software, in this site's order: each with what it costs, where it runs and its record score.
It suits application teams that want to inspect LLM requests before they reach a provider, including for prompt injection, PII, or data leakage risks.
NeMo Guardrails is for developers and teams building LLM applications that need configurable policy checks.
It is intended for enterprises securing AI deployments, AI safety researchers and people building safer AI systems.
CyberSecEval suits people evaluating cybersecurity risks or defensive behavior in large language models.
Prompt Firewall suits AI application teams shipping LLM features and developers building agents.
VotalAI is aimed at enterprise AI teams, including platform and security engineers, that need policies and visibility around agent prompts, outputs,…
It may suit teams building chatbots, RAG pipelines, or agents that need checks for risks such as PII exposure or jailbreaks.
It suits engineering, AI, security, compliance, and finance teams that need to enforce policies on live AI traffic.
It is aimed at developers building LLM applications who want self-hosted prompt and output scanners or documented integrations.
It is suited to teams handling sensitive information in healthcare, finance, or legal workflows that use LLMs.
It suits teams protecting direct LLM interactions, agent exchanges, or RAG pipelines.
It is presented for enterprise security teams protecting production AI applications, autonomous agents, and coding-agent workflows.
It is aimed at organizations governing enterprise LLM applications and agent interactions.
Amazon Bedrock Guardrails suits users seeking cloud-based checks for model interactions, including prompt attacks, sensitive information and output…