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 | Meta LlamaFirewall |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Agent Guardrail Framework |
| Tool Call Protection | Deep Inspection | Partial |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Self-hosted |
| Guardrails Latency | <130ms policy decision | Low in-process; higher with LLM-based checks |
| 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.) • Meta LlamaFirewall figures from public documentation, reviewed 2026-07-03.
Meta's open-source (MIT) guardrail framework within the Purple Llama project, orchestrating layered scanners across chat and multi-step agent workflows: PromptGuard 2 (lightweight injection classifier), AlignmentCheck (chain-of-thought auditing for goal hijacking), CodeShield (static analysis of generated code), and custom regex scanners. It is categorized under Runtime Guardrails & AI Firewall in the Guardion AI Security Index.
Yes. Meta LlamaFirewall has an open-source core (https://github.com/meta-llama/PurpleLlama/tree/main/LlamaFirewall); pricing model: Free / Open Source.
Teams evaluating Meta LlamaFirewall most often compare it with Lakera (Check Point), Meta (Llama Guard), Prompt Security (SentinelOne), and GuardionAI — all listed under Runtime Guardrails & AI Firewall.
Meta LlamaFirewall focuses on agent guardrail framework, 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: meta-llama.github.io · github.com