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Humanbound vs Canary

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

Humanbound compared with Canary
DetailHumanbound logo Humanbound Canary
What it doesSecure AI agents, with evidence AI writes your code. Canary tests it.
StageNot given MVP
FoundedNot given Not given
Based inGR US
Pricing modelFreemium Contact for pricing
PricingCommunity: €0 (open source, 1x monthly testing volume, weekly monitoring, 3 seats, 30-day data retention). Team: €349/mo (20x monthly testing volume, 10 seats, 90-day data retention, webhooks, priority support). Enterprise: Custom pricing (contact for details). Not given
Key features
  • Automated adversarial testing with multi-turn and agentic attack chains
  • Black-box testing without SDK installation or agent modification
  • Four-tier Humanbound Firewall with LLM judge
  • Continuous posture score from 0 to 100
  • Framework mapping to EU AI Act, NIST AI RMF, OWASP LLM Top 10, OWASP Agentic AI Top 10
  • Air-gapped testing with self-hosted models like Ollama
  • Export compliance evidence in HTML, PDF, JSON, SARIF, CEF formats
  • Webhook integration with SIEM and ticketing systems
  • Apache-2.0 open source CLI, testing engine, and SDK
  • Baseline campaign completion in hours
  • Automatic test generation from code diffs
  • Sandbox app testing with real browsers and APIs
  • Reproduced failures with root causes
  • Automatic regression test creation
  • GitHub PR integration with inline comments
  • Testing at every development step
  • Support for multiple coding agents
  • Slack and Linear integration
  • Comprehensive test reports with evidence
  • CLI for local testing before commits
What makes it different
  • Continuous monitoring instead of point-in-time reports
  • Adaptive multi-turn attack chains that evolve over time
  • Same open-source code as platform with nothing held back or limited
  • No account required for local open-source testing
  • Framework mapping and compliance evidence for regulatory requirements
  • Catches bugs in AI-generated code automatically before they reach production
  • Tests code in real browsers and APIs, not just unit tests
  • Automatically converts findings into lasting regression tests
  • Works directly inside coding agents with one-line integration
  • Provides proof with replays and root causes for every failure
Community votes00
DR (Domain Rating by Ahrefs)14 +1 (up) since last check18 no change since last check
Trust Flow (Majestic)85
Citation Flow (Majestic)3032
Referring domains (Majestic)71150

5 details filled in for both companies.

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