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 | Stacklok ToolHive |
|---|---|---|
| Primary Focus | Agent Runtime Governance | MCP Server Management |
| Tool Call Protection | Deep Inspection | Partial |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Local desktop/CLI / Kubernetes (self-hosted) |
| Guardrails Latency | <130ms policy decision | Local/in-cluster proxying (minimal overhead) |
| 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.) • Stacklok ToolHive figures from public documentation, reviewed 2026-07-03.
Apache-2.0 platform from Stacklok (co-maintained with Red Hat) that runs MCP servers in isolated containers with fine-grained permissions, network controls, and encrypted secrets, managed via a desktop UI, CLI, or Kubernetes operator. By mid-2026 it is production-ready with a curated registry and a Virtual MCP gateway; Stacklok Enterprise layers on SSO and central management. It is categorized under Agent & MCP Security in the Guardion AI Security Index.
Yes. Stacklok ToolHive has an open-source core (https://github.com/stacklok/toolhive); pricing model: Open Source (Apache 2.0); paid enterprise tier.
Teams evaluating Stacklok ToolHive most often compare it with Lasso Security, Akto, Snyk (Invariant Labs), and GuardionAI — all listed under Agent & MCP Security.
Stacklok ToolHive focuses on mcp server management, 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 · docs.stacklok.com