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PromptBrake vs Qualifire

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

PromptBrake compared with Qualifire
DetailPromptBrake logo PromptBrakeQualifire logo Qualifire
What it doesAutomated AI security testing for chatbots, agents, and APIs Real-time guardrails and evaluation for LLM applications
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree trial: 3 scans over 7 days. $99 USD once for 5 scans valid 30 days (no renewal). $499/month for 30 scans per billing month and one active runner license (month-to-month). 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
  • 138 automated checks across 18 attack categories
  • API endpoint and web chatbot testing
  • Self-hosted Docker runner
  • Evidence exports and Baseline Diff
  • CI/CD release gate automation
  • Findings with evidence, business impact, and remediation guidance
  • Behavioral regression detection
  • 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
  • Built by an application-security practitioner with GWEB certification
  • Compare test results with Baseline Diff to verify fixes
  • 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)32 +1 (up) since last check28 no change since last check
Trust Flow (Majestic)1211
Citation Flow (Majestic)2926
Referring domains (Majestic)4671

5 details filled in for both companies.

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