DevSecOps & SAST/DAST Software Pricing 2026
Compare pricing for 8 devsecops & sast/dast tools. Find the right software for your budget.
DevSecOps & SAST/DAST software pricing ranges from $0 to $950 per user/month in 2026. The typical cost is around $61/user/month across 8 popular tools. Top picks: JFrog Xray ($50–$950/user/mo), GitLab Ultimate (SAST) (Free–$29/user/mo), Stackhawk ($5–$5/user/mo), and 5 more. 1 of 8 tools offer free tiers for small teams or limited use.
All DevSecOps & SAST/DAST Tools
Compare all side-by-side →JFrog Xray
$50–$950/MonthGitLab Ultimate (SAST)
Free–$29/user/monthStackhawk
$5–$5/monthCheckmarx
Custom pricingPrisma Cloud (Palo Alto)
Custom pricingVeracode
Custom pricingAqua Security
Custom pricingInvicti (Netsparker)
Custom pricingNo matches
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DevSecOps & SAST/DAST Pricing FAQ
01 What is DevSecOps (SAST/DAST)?
DevSecOps integrates security testing directly into development and CI/CD pipelines. SAST (static application security testing) scans source code for vulnerabilities before runtime; DAST (dynamic testing) probes running applications for exploitable flaws. Together with dependency and container scanning, they catch security issues early, when they're cheapest to fix.
02 How much do SAST/DAST tools cost?
These tools are typically priced per developer or contributor, per project, or by scan volume, with free and open-source options (like SonarQube Community) and paid tiers for teams. Enterprise plans add governance, more languages, and integrations. Per-developer pricing means costs scale with engineering headcount.
03 What's the difference between SAST and DAST?
SAST analyzes code without running it, finding issues like injection flaws and insecure patterns early in development with full code visibility. DAST tests the running application from the outside, catching runtime and configuration issues SAST can't see. Mature programs use both, plus software composition analysis for open-source dependency risks.
04 What hidden costs come with DevSecOps tools?
Watch for per-developer pricing that scales with team size, the effort to triage false positives, and add-ons for additional languages, container, or IaC scanning. Tools that generate excessive noise create hidden cost in developer time spent reviewing findings rather than fixing real issues.