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 | Repello AI |
|---|---|---|
| Primary Focus | Agent Runtime Governance | AI Red Teaming & Guardrails |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Cloud |
| Guardrails Latency | <130ms policy decision | Guardrail decisions <100ms |
| 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) | SOC 2, ISO 27001 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Repello AI figures from public documentation, reviewed 2026-07-03.
Combines ARTEMIS, an automated red-teaming engine testing AI systems against 15M+ attack patterns in 100+ languages, with ARGUS runtime guardrails that block malicious inputs in under 100ms, plus AI asset inventory and an MCP gateway. Guardrail policies are auto-calibrated from red-team findings. It is categorized under AI Red Teaming & Testing in the Guardion AI Security Index.
Repello AI raised a $1M Seed (2025-06), bringing total disclosed funding to $1M.
No, Repello AI is a commercial product (Enterprise (free red-team scan available)).
Teams evaluating Repello AI most often compare it with Promptfoo, garak (NVIDIA), Patronus AI, and GuardionAI — all listed under AI Red Teaming & Testing.
Repello AI focuses on ai red teaming & guardrails, 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: repello.ai · aarm.dev