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HiTest vs Guardana

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

HiTest compared with Guardana
DetailHiTest logo HiTestGuardana logo Guardana
What it doesAI QA agent for regression testing websites Open-source AI security verification
StageNot given Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelNot given Open source
PricingFree: 200 lifetime credits, 1 project, 1 member. Starter: $33/mo (billed annually at $396/year), 2,000 credits/month, 3 projects, 3 members. Team: $84/mo (billed annually at $1,008/year), 5,000 credits/month, 10 projects, 10 members. Business: Custom pricing for larger teams. Not given
Key features
  • Explore user journeys and auto-generate test case drafts
  • Run tests in a real browser with recording
  • Test logged-in workflows with project test accounts
  • Review failed steps, screenshots, and browser recordings
  • Schedule test runs manually, on recurring schedule, or from deployment webhook
  • AI-generated summary and actionable issue creation
  • Test multiple projects with customizable coverage
  • Team member management and access control
  • Proxy access for network configuration
  • Technical support via Slack
  • 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
What makes it different
  • No test script maintenance required
  • AI-powered test case generation from plain language descriptions
  • Fast coverage for product-facing workflows without coding
  • Evidence-driven failure debugging with recordings and context
  • Designed for logged-in workflows and account context
  • 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
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)32
Citation Flow (Majestic)2721
Referring domains (Majestic)1822

3 details filled in for both companies.

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