Which AI security platform is right for your team? We break down the differences in features, latency, and protection scope to help you decide.
| Feature | GuardionAI | Langfuse |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Tracing & Eval |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Cloud API |
| Guardrails Latency | <130ms policy decision | N/A (Async) |
| 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) |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Langfuse figures from public documentation.
Open-source observability and analytics for LLM applications, focusing on traces and evaluations. It is categorized under Observability & Evaluation in the Guardion AI Security Index.
Yes. Langfuse has an open-source core; pricing model: Open Source / Cloud.
Teams evaluating Langfuse most often compare it with Braintrust, Snowflake (TruEra), Arize AI, and GuardionAI — all listed under Observability & Evaluation.
Langfuse focuses on tracing & eval, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.