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 | garak (NVIDIA) |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Automated Red Teaming |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Self-hosted |
| Guardrails Latency | <130ms policy decision | N/A (Testing) |
| 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) | Apache 2.0 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • garak (NVIDIA) figures from public documentation, reviewed 2026-07-03.
Generative AI Red-teaming & Assessment Kit, now maintained by NVIDIA. Scans LLMs for hallucinations, data leakage, and prompt injection with a comprehensive probe library. It is categorized under AI Red Teaming & Testing in the Guardion AI Security Index.
Yes. garak (NVIDIA) has an open-source core (https://github.com/NVIDIA/garak); pricing model: Open Source.
Teams evaluating garak (NVIDIA) most often compare it with Promptfoo, Patronus AI, Giskard (Open Source), and GuardionAI — all listed under AI Red Teaming & Testing.
garak (NVIDIA) focuses on automated red teaming, 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