GuardionAI vs. Rebuff

Which AI security platform is right for your team? We break down the differences in features, latency, and protection scope to help you decide.

FeatureGuardionAIRebuff
Primary FocusAgent Runtime GovernancePrompt Injection Defense
Tool Call Protection Deep InspectionNot documented
DeploymentInline Security Gateway / Guard API / Claude Code pluginSelf-hosted
Guardrails Latency<130ms policy decisionVariable
Detection Accuracy96.3 F1 on the Prompt Security Leaderboard with 0.02% false positivesNot published / varies by deployment
ComplianceGDPR-ready, HIPAA-ready, LGPD-ready, SOC 2 Type II (in progress)MIT

GuardionAI figures from guardion.ai (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails.) • Rebuff figures from public documentation.

Choose GuardionAI if...

  • You are building autonomous AI agents that use tools, MCP servers, or APIs.
  • Latency is critical for your application (Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails).
  • You want DLP for PII and secrets before data leaves your org.
  • You need a single hub to investigate and respond to agent incidents.

Choose Rebuff if...

  • Multi-stage defense
  • Its pricing model (Open Source) fits your procurement preferences

Frequently asked questions

What is Rebuff?

Multi-layered defense against prompt injection attacks using heuristics, vector DBs, and LLM analysis. It is categorized under Runtime Guardrails & AI Firewall in the Guardion AI Security Index.

Is Rebuff open source?

Yes. Rebuff has an open-source core (https://github.com/protectai/rebuff); pricing model: Open Source.

What are the best Rebuff alternatives?

Teams evaluating Rebuff most often compare it with Lakera (Check Point), Meta (Llama Guard), Prompt Security (SentinelOne), and GuardionAI — all listed under Runtime Guardrails & AI Firewall.

How does Rebuff compare to GuardionAI?

Rebuff focuses on prompt injection defense, while GuardionAI is an agent runtime governance platform ("EDR for AI agents") that governs every agent tool call inline with sub-130ms guardrails latency.

Ready to secure your AI Agents?

Govern every agent command, tool call, and data access — with sub-130ms guardrails latency. 50M+ agent actions protected per month.