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Network & DAST

DygDog vs. OpenVAS / Greenbone

Open-source network vulnerability scanner

What is OpenVAS / Greenbone?

OpenVAS (Open Vulnerability Assessment System), maintained as Greenbone Community Edition, is a traditional network-layer vulnerability scanner. It performs active, credentialed host scans and has been a staple of network security teams since 2006. While feature-rich, it requires significant infrastructure investment and produces raw CVE reports without developer-friendly remediation guidance.

OpenVAS / Greenbone is best suited for: Network security teams scanning internal infrastructure. Pricing typically starts at Free (Community Edition) / Greenbone Enterprise from ~$4,000/yr.

Feature comparison

FeatureDygDogOpenVAS / Greenbone
Setup requiredNone — SaaS, browser-basedVM / container deployment required
Scanning methodPassive, zero-payloadActive, can trigger WAFs / IDS
RemediationAI-generated code snippets per stackCVE links and generic wiki pages
ComplianceAutomated SOC 2, ISO 27001, GDPRManual mapping only
MonitoringContinuous with change alertsScheduled scans, manual review
Web app coverage72 passive web/SaaS checksNetwork-layer and CVE-focused

OpenVAS / Greenbone limitations

  • Requires a dedicated server or VM to operate
  • Active scanning can disrupt production environments
  • No AI-generated remediation — output is raw CVE IDs
  • No built-in compliance mapping to SOC 2 or ISO 27001
  • Steep learning curve and complex configuration

Why teams switch to DygDog

  • Zero-setup SaaS — scan from a browser URL in seconds
  • Passive zero-payload scanning — no production risk
  • AI-generated code fixes specific to your stack
  • Automated SOC 2 Type II / ISO 27001 compliance evidence packs
  • Continuous monitoring with change alerts

The bottom line

OpenVAS / Greenbone excels for network security teams scanning internal infrastructure. If your team needs continuous, developer-focused security scanning with AI-generated code fixes and automated compliance evidence — without the setup overhead or per-asset costs — DygDog is built for exactly that use case.

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