The best GLACIS alternatives
The rest of Best LLM Security Tools, 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.
It suits developers and teams adding prompt safety checks to applications through APIs, SDKs, or MCP.
NeMo Guardrails is for developers and teams building LLM applications that need configurable policy checks.
CyberSecEval suits people evaluating cybersecurity risks or defensive behavior in large language models.
It suits teams building AI agents, robotics, workflow automation, or other systems that can take real-world actions.
It suits engineering, AI, security, compliance, and finance teams working with AI systems, including teams in healthcare and financial services.
Inferwall suits teams operating their own LLM infrastructure and wanting configurable input and output screening.
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 is aimed at developers building LLM applications who want self-hosted prompt and output scanners or documented integrations.
WitnessAI is aimed at enterprises managing AI use across employees, applications, developers, and agents.
Lasso is designed for enterprises managing AI applications, agents, and connected resources.
It is aimed at organizations governing enterprise LLM applications and agent interactions.
This product suits organizations governing AI models, agents, sensitive information, and tool access.