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 | Haize Labs |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Automated LLM Red Teaming |
| Tool Call Protection | Deep Inspection | No |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | SaaS |
| Guardrails Latency | <130ms policy decision | Offline testing (not inline) |
| 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.) • Haize Labs figures from public documentation, reviewed 2026-07-03.
Automates red teaming ('haizing') of LLMs and AI applications, using search and fuzzing algorithms to surface inputs that trigger unsafe behavior, paired with calibrated Judges for evaluation and monitoring. Works with AI labs including Anthropic and AI21; closed a $12.5M seed announced December 2025. It is categorized under AI Red Teaming & Testing in the Guardion AI Security Index.
Haize Labs raised a $13M Seed (2025-12).
No, Haize Labs is a commercial product (Enterprise contracts).
Teams evaluating Haize Labs most often compare it with Promptfoo, garak (NVIDIA), Patronus AI, and GuardionAI — all listed under AI Red Teaming & Testing.
Haize Labs focuses on automated llm 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: haizelabs.com · github.com