Corgea AI-Native SAST vs SonarSource SonarQube: Side-by-Side Comparison (2026)

Corgea AI-Native SAST

Development teams shipping code faster than your security process can handle will see immediate ROI from Corgea AI-Native SAST, since its LLM-driven fix suggestions cut remediation time by eliminating the back-and-forth between developers and security. The tool covers 11 languages natively and cuts false positives through AI triage rather than manual rule tuning, which matters when your team is small and can't afford a dedicated AppSec person. This is not the tool for organizations that need deep integration with legacy CI/CD pipelines or require on-premises deployment; Corgea's cloud-only model and startup-scale vendor mean you're betting on a young company's roadmap.

SonarSource SonarQube

Development teams shipping code through CI/CD pipelines need SonarQube for its taint analysis, which catches injection vulnerabilities that traditional SAST misses by tracking data flow end-to-end across 35+ languages. The AI CodeFix feature actually reduces remediation time by suggesting context-aware fixes inline, and SOC 2 Type II certification covers the compliance box for most mid-market buyers. Skip this if your priority is runtime detection or if you need secrets scanning as your primary control; SonarQube finds exposed credentials but treats it as a secondary scanner rather than the core value prop.