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 | IBM Granite Guardian |
|---|---|---|
| Primary Focus | Agent Runtime Governance | Open Guardrail Models |
| Tool Call Protection | Deep Inspection | Partial |
| Deployment | Inline Security Gateway / Guard API / Claude Code plugin | Self-hosted / Cloud (watsonx.ai) |
| Guardrails Latency | <130ms policy decision | Depends on hosting (model inference) |
| 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) | Apache 2.0 |
GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • IBM Granite Guardian figures from public documentation, reviewed 2026-07-03.
IBM's family of Apache 2.0 guardrail models that judge prompts and responses of any LLM for jailbreaks, harmful content, social bias, RAG groundedness failures, and agentic risks like function-calling hallucination. The 4.x generation shipped in 2026 aligned to IBM's AI Risk Atlas; the models rank near the top of the GuardBench leaderboard and power guardrails inside watsonx.governance. It is categorized under Runtime Guardrails & AI Firewall in the Guardion AI Security Index.
Yes. IBM Granite Guardian has an open-source core (https://github.com/ibm-granite/granite-guardian); pricing model: Free / Open Source (hosted via watsonx).
Teams evaluating IBM Granite Guardian most often compare it with Lakera (Check Point), Meta (Llama Guard), Prompt Security (SentinelOne), and GuardionAI — all listed under Runtime Guardrails & AI Firewall.
IBM Granite Guardian focuses on open guardrail models, 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: ibm.com · github.com