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Why choose Oryon over Semgrep

Keep analysis alongside your code: local detection, help understanding the risk and shared results from the editor to CI and the platform.

Code Security Semgrep
Code Security

Why choose Oryon

  1. Analysis starts on your machine.

    Local SAST, code, dependencies and configuration in your editor workflow. You control connected features and AI assistance, according to your plan.

  2. From the editor to every delivery.

    The engine ships with the extension. Connect code analysis, dependencies and CI integrations with your team's platform in one workflow.

  3. One review the whole team can reuse.

    Shared suppressions, history, scan comparisons, CSV exports and PDF reports. Detection becomes ongoing work your team can track.

Capabilities, side by side.

The table describes documented features; it does not measure performance or detection quality. Commercial features may depend on product, plan and configuration.
What you need Code Security Semgrep
Editor integration Documented Scan as you edit or save, or start a file or repository scan; configure profiles and exclusions. Documented Official extensions ↗
Static code analysis Documented Static analysis of code, secrets, infrastructure, pipelines and AI/MCP security. Combines patterns with data tracking within each file. Profiles and exclusions adapt the scan to the repository. Documented Semgrep Code / CE ↗
Dependencies Documented Extends the inventory of packages and their relationships from the repository, including Maven projects. Automatically attempted in the extension and CI; native analyzers provide a fallback when it is unavailable. Another suite product Semgrep Supply Chain ↗
Secrets Documented Static analysis of code, secrets, infrastructure, pipelines and AI/MCP security. Combines patterns with data tracking within each file. Profiles and exclusions adapt the scan to the repository. Another suite product Semgrep Secrets ↗
CI integration Documented Run the same analysis core from GitHub Actions and Azure Pipelines, with OIDC and a project token. Documented CLI and CI/CD ↗
AI-assisted fixes Optional / plan dependent Explains causes, risk and impact and proposes changes, diffs, effort and verification checks. Available according to plan and configuration; the user reviews and applies the proposal in the editor. Optional / plan dependent Semgrep Multimodal / Assistant ↗
SAST without SaaS code upload Documented OpenGrep bundled with the extension; local SAST works offline once the engine is extracted. AI and sync use the network. Documented Local CLI; AppSec connectivity and AI features have their own data handling. ↗
Infrastructure & configuration Documented Rules for Terraform, Docker, Kubernetes, CI/CD and configuration; coverage depends on format and rule. Documented Terraform, JSON and configuration rules; maturity varies by format. ↗
Profiles & exclusions Documented production_security/full profiles, path inclusion and exclusion, and .gitignore support. Documented Rulesets, custom rules and scan-scope configuration. ↗
Selective MDN compatibility Documented Selective MDN assessment: String.replaceAll against configured browsers. Other warnings require validation; this is not a general browser compatibility audit. Not documented in this scope No MDN compatibility assessment documented in the reviewed scope. ↗
Shared triage decisions Documented Project-level shared false-positive suppressions, with restoration from the extension and dashboard. Documented AppSec retains finding states, reasons and triage decisions. ↗
History & reporting Documented History, comparisons, audit PDF and JSON/CSV exports. The advanced AI report depends on the plan. Documented Finding lifecycle tracking in AppSec. ↗

Product scope

Code Security

Keep analysis alongside your code: local detection, help understanding the risk and shared results from the editor to CI and the platform.

Semgrep

Engine and AppSec platform: Code, Supply Chain and Secrets, with commercial features depending on product and plan.

Semantic rules, local or CI scanning, findings governance and AI assistance in the platform.

Official sources

Sources reviewed: 2026-10-29

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