Which AI security platform is right for your team? We break down the differences in features, latency, and protection scope to help you decide.
Last reviewed: 2026-07-03
| Feature | GuardionAI | LLM Guard (Protect AI) |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Sanitization & Detection |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Self-hosted |
| Guardrails Latency | <130ms policy decision | Low |
| Detection Accuracy | 96.3 F1 on the Prompt Security Leaderboard with 0.02% false positives | Not published / varies by deployment |
| Compliance | GDPR-ready, HIPAA-ready, LGPD-ready, SOC 2 Type II (in progress) | MIT |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • LLM Guard (Protect AI) figures from public documentation, reviewed 2026-07-03.
Comprehensive open-source toolkit to fortify LLM security, offering sanitization, detection, and prevention of attacks. Originally by Laiyer.ai, now maintained under Protect AI. It is categorized under Runtime Guardrails & AI Firewall in the Guardion AI Security Index.
Yes. LLM Guard (Protect AI) has an open-source core (https://github.com/protectai/llm-guard); pricing model: Open Source.
Teams evaluating LLM Guard (Protect AI) most often compare it with Lakera (Check Point), Meta (Llama Guard), Prompt Security (SentinelOne), and GuardionAI — all listed under Runtime Guardrails & AI Firewall.
LLM Guard (Protect AI) focuses on sanitization & detection, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.
Last reviewed: 2026-07-03
Sources: github.com