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 | Knostic |
|---|---|---|
| Primary Focus | Agent Runtime Governance | AI Access Control |
| Tool Call Protection | Deep Inspection | Not documented |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | SaaS |
| Guardrails Latency | <130ms policy decision | Policy/posture layer (not inline-critical) |
| 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) |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Knostic figures from public documentation, reviewed 2026-07-03.
Enforces need-to-know access controls on enterprise AI assistants and copilots to stop LLM oversharing and data leakage. By 2026 it has expanded into securing AI agents and coding assistants — including MCP servers, skills, and IDE extensions — via Kirin and Shadow AI Spotlight. Founded by Sounil Yu and Gadi Evron. It is categorized under Data Security & Privacy in the Guardion AI Security Index.
Knostic raised a $11M Series A (2025-03), bringing total disclosed funding to $14M.
No, Knostic is a commercial product (Enterprise subscription).
Teams evaluating Knostic most often compare it with Securiti, Zscaler (GenAI Security), Private AI, and GuardionAI — all listed under Data Security & Privacy.
Knostic focuses on ai access 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.
Last reviewed: 2026-07-03
Sources: knostic.ai · securityweek.com