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Guardana vs Qualifire

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Guardana compared with Qualifire
DetailGuardana logo GuardanaQualifire logo Qualifire
What it doesOpen-source AI security verification Real-time guardrails and evaluation for LLM applications
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelOpen source Freemium
PricingNot given Free plan includes 3 million tokens per month, unlimited users, and community support. Basic plan is $0/month with 300k monthly tokens and up to 3 protection rules. Pro plan is $550/month including 1 billion monthly tokens, unlimited protection rules, and email and Slack support. Additional tokens a
Key features
  • Scan model and code artifacts offline
  • Probe and monitor live endpoints
  • Grade recorded application runs
  • Diff and compare security runs
  • 58 security rules across build and runtime
  • Python API for integration
  • Custom rule creation with YAML or Python
  • Cost estimation before probing
  • Optional self-hosted collector
  • Real-time guardrails with sub-20ms latency
  • Hallucination detection and prevention
  • Small language model judges tailored to business domain
  • Content moderation and safety checks
  • PII detection and masking
  • Prompt management and studio
  • Complete observability and tracing
  • Rogue red team platform for agent evaluation
  • Multiple deployment options
  • Policy enforcement and custom rules
What makes it different
  • Fully offline artifact scanning with no telemetry or account required
  • Unverified results never marked as clean; handles uncertainty explicitly
  • Works with multiple model APIs and MCP servers regardless of model
  • Re-grade recorded runs without rerunning the application
  • 99.6% faster evaluation than alternatives
  • 97% cost reduction compared to traditional solutions
  • Small judges providing low latency and cost efficiency
  • Contextual guardrails that consider application context
  • Purpose-built for agentic systems, RAG, and chatbots
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check28 no change since last check
Trust Flow (Majestic)211
Citation Flow (Majestic)2126
Referring domains (Majestic)2271

4 details filled in for both companies.

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