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 | Giskard (Open Source) |
|---|---|---|
| Primary Focus | Agent Runtime Governance | AI Testing & Quality |
| 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.) • Giskard (Open Source) figures from public documentation.
Open-source testing framework dedicated to ML models and LLMs, covering bias, performance, and security flaws. It is categorized under AI Red Teaming & Testing in the Guardion AI Security Index.
Yes. Giskard (Open Source) has an open-source core (https://github.com/Giskard-AI/giskard); pricing model: Open Source / Enterprise.
Teams evaluating Giskard (Open Source) most often compare it with Promptfoo, garak (NVIDIA), Patronus AI, and GuardionAI — all listed under AI Red Teaming & Testing.
Giskard (Open Source) focuses on ai testing & quality, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.