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 | Unbound Security |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Enterprise AI Usage Governance |
| Tool Call Protection | Deep Inspection | Partial |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Cloud console / Endpoint agent via MDM |
| Guardrails Latency | <130ms policy decision | Lightweight endpoint agent |
| 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 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Unbound Security figures from public documentation, reviewed 2026-07-03.
YC-backed platform that discovers, risk-scores, and governs AI coding agents and tools — Claude Code, Cursor, Copilot, MCP servers — at the endpoint, enforcing allow/deny policies on agent actions with audit logging. Its AI gateway adds real-time data-leak protection; customers include Siemens, WeWork, and Flipkart. It is categorized under Shadow AI & Workforce Security in the Guardion AI Security Index.
Unbound Security raised a $4M Seed (2025-05), bringing total disclosed funding to $4M.
No, Unbound Security is a commercial product (Freemium + paid tiers).
Teams evaluating Unbound Security most often compare it with Check Point (GenAI Protect), Netskope One AI Security, Aim Security, and GuardionAI — all listed under Shadow AI & Workforce Security.
Unbound Security focuses on enterprise ai usage governance, 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: getunbound.ai · aarm.dev