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 | Aurascape |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Shadow AI & Control |
| 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 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Aurascape figures from public documentation.
Extends security architectures to detect, analyze, and control AI use (Shadow AI and Embedded Agents) to prevent data loss and threat insertion. It is categorized under Shadow AI & Workforce Security in the Guardion AI Security Index.
No, Aurascape is a commercial product (Quote).
Teams evaluating Aurascape most often compare it with Check Point (GenAI Protect), Netskope One AI Security, Aim Security, and GuardionAI — all listed under Shadow AI & Workforce Security.
Aurascape focuses on shadow ai & control, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.