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 | CodeIntegrity |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Agentic Runtime Control |
| Tool Call Protection | Deep Inspection | Yes |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Enterprise deployments |
| Guardrails Latency | <130ms policy decision | Inline enforcement |
| 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.) • CodeIntegrity figures from public documentation, reviewed 2026-07-03.
Builds a runtime control layer between AI agents and enterprise systems, constraining which systems and data an agent may touch under strict, predictable rules — deterministic enforcement rather than probabilistic guardrail models. The team gained attention for offensive research including compromising Notion's agent in under four hours; ~$5M seed led by Syn Ventures (2026). It is categorized under Agent & MCP Security in the Guardion AI Security Index.
CodeIntegrity raised a $5M Seed (2026-05), bringing total disclosed funding to $5M.
No, CodeIntegrity is a commercial product (Enterprise (quote)).
Teams evaluating CodeIntegrity most often compare it with Lasso Security, Akto, Snyk (Invariant Labs), and GuardionAI — all listed under Agent & MCP Security.
CodeIntegrity focuses on agentic runtime 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: geekwire.com · aarm.dev