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 | Zenity |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Copilot & Low-Code Security |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Cloud API |
| Guardrails Latency | <130ms policy decision | N/A (Scanning/Policy) |
| 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, ISO 27001 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Zenity figures from public documentation.
Zenity focuses on low-code/no-code and copilot ecosystems — Microsoft Copilot Studio, Power Platform, Salesforce, ServiceNow and similar — providing inventory, misconfiguration detection, and governance for agents built there.
Specializes in securing low-code/no-code platforms and AI agents. It focuses on 'Application Lifecycle Management' for agents, preventing data leakage and broken access control in Copilots. It is categorized under Agent & MCP Security in the Guardion AI Security Index.
Zenity raised a $38M Series B (2024-09).
No, Zenity is a commercial product (Enterprise Quote).
Teams evaluating Zenity most often compare it with Lasso Security, Akto, Snyk (Invariant Labs), and GuardionAI — all listed under Agent & MCP Security.
Zenity focuses on copilot & low-code 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.