Semgrep helps teams find insecure code patterns, dependency risk and leaked secrets close to developer workflows. Its readable rule model remains the core advantage: AppSec and platform teams can encode policies that look like code, run them locally or in CI, and tune findings without treating static analysis as a black box.
Current Semgrep positioning is broader than an older static-analysis-only description. The product surface includes Semgrep Code for SAST, Semgrep Supply Chain for dependency risk, Semgrep Secrets, Guardian, AI-assisted triage and remediation, managed scanning and governance for teams that need platform-level AppSec workflows.
The open-source engine should be described with license nuance rather than old star-count or MIT shorthand. GitHub currently reports semgrep/semgrep with LGPL-2.1 metadata and more than fifteen thousand stars, while the commercial platform adds hosted workflows, support and enterprise controls. Buyers should test rule quality, CI performance and finding noise on their own repositories.
