Cloud-Based DAST
DygDog vs. Qualys WAS
Cloud-based web application scanning platform
What is Qualys WAS?
Qualys Web Application Scanning (WAS) is a cloud-based DAST solution integrated into the broader Qualys VMDR platform. It performs deep crawling and active injection testing of web applications, mapping findings to OWASP Top 10 and PCI DSS. It is a strong enterprise choice for large security programmes but involves lengthy onboarding, active scanning risk, and does not generate developer-ready remediation code.
Qualys WAS is best suited for: Large enterprise security programmes with dedicated appsec teams. Pricing typically starts at Part of VMDR platform — opaque enterprise pricing.
Feature comparison
| Feature | DygDog | Qualys WAS |
|---|---|---|
| Scanning approach | Passive — no active injection | Active crawl and inject testing |
| Onboarding time | Seconds — enter a URL | Days to weeks of policy configuration |
| Remediation | AI code snippets per stack | CVSS scores and issue descriptions |
| Pricing model | Transparent, free tier available | Opaque enterprise contract |
| Dev workflow fit | Built for engineering teams | Designed for security operations |
| Continuous alerts | Yes — change-detection monitoring | Scheduled scan cadence |
Qualys WAS limitations
- Active crawl-and-inject scanning risks disrupting production
- Complex onboarding and scan policy configuration
- Remediation output is CVSS scores and descriptions, not code
- Pricing is opaque — enterprise contract only
- Not suited to continuous developer-workflow integration
Why teams switch to DygDog
- Passive scanning — safe to run against production at any time
- Onboarding measured in seconds, not weeks
- AI output developers can copy directly into their codebase
- Transparent per-seat pricing with a free tier
- Integrated change-detection alerts for continuous monitoring
The bottom line
Qualys WAS excels for large enterprise security programmes with dedicated appsec teams. 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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