Corgea AI-Native SAST vs Privado Open-Source: 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.

Privado Open-Source

Development teams shipping mobile apps need Privado Open-Source because it catches data leakage patterns in code before they hit the Play Store or App Store, which closed-source SAST tools often miss in privacy-specific contexts. The tool generates automated compliance reports for both platforms and Apple Privacy Manifests, cutting the manual audit work most teams currently do by hand. Skip this if your org needs centralized policy enforcement across web services and infrastructure; Privado's strength is mobile-first, not enterprise-wide data governance.