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 | Akto |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Agentic AI Security |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Cloud API |
| Guardrails Latency | <130ms policy decision | Real-time |
| 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) | SOC2, GDPR |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Akto figures from public documentation.
Yes — Akto monitors MCP traffic, discovers agents automatically, and applies red teaming and guardrails to agent-tool workflows; it is listed in the CSA AARM builder registry.
Designed to protect AI agents and Model Context Protocol (MCP) workflows through automated discovery, red teaming, and guardrails. It is categorized under Agent & MCP Security in the Guardion AI Security Index.
No, Akto is a commercial product (Free Tier / Enterprise).
Teams evaluating Akto most often compare it with Lasso Security, Snyk (Invariant Labs), Runlayer, and GuardionAI — all listed under Agent & MCP Security.
Akto focuses on agentic ai security, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.
Sources: aarm.dev