Head-to-head

Oryon vs Semgrep

Both products can help engineering teams find security issues early. The real difference is operating model: Semgrep shines when you invest in rules and platform governance, while Oryon is optimized for an IDE-first security workflow with less review friction.

Real product fit

When each product is the better choice

If your team already runs a mature rule program, Semgrep may still be the better base. If the priority is to lower noise inside the developer workflow and keep scanning local by default, Oryon is usually the sharper fit.

Choose Oryon if

  • Your developers live in VS Code-based editors and want signal before CI becomes the bottleneck.
  • You want local-first analysis with strict keep-by-default guardrails in AI triage.
  • You want shared false positives and dashboard history without centering everything on the platform.

Choose %{competitor_name} if

  • You already run a mature Semgrep program and custom rule engineering is a strategic advantage.
  • Your AppSec team prefers platform governance and policy control over an IDE-first operating model.
  • You want to optimize around Semgrep's rule ecosystem across many deployment paths.

Honest comparison

Side-by-side scorecard

Criterion Oryon Semgrep
Workflow center VS Code-based workflow with local scanning, conservative triage, and optional dashboard sync. Rule-driven AppSec workflow with strong customization and platform governance.
Where analysis runs Code and dependency analysis run locally in the editor. Semgrep supports CLI, IDE, and platform workflows, often organized around the Semgrep platform.
How noise is reduced Heuristic prefilter, strict two-pass AI consensus, and shared suppressions. Rule quality, custom rule tuning, and platform-based triage.
Shared team memory Repo-linked dashboard state and false-positive memory shared across future scans. Platform findings, policies, and workflow state.
Best fit Engineering-led teams that want security to live inside daily coding. Teams investing heavily in rule authoring, policy control, and broader AppSec rollout.

Operating model

How the workflow changes

During coding

Oryon

Oryon keeps the core review loop inside the editor: local findings, dependency visibility, AI explanations, and issue drafting.

Semgrep

Semgrep also reaches the IDE, but many teams operate it as part of a broader rule and platform workflow.

When findings are noisy

Oryon

Oryon uses heuristic prefiltering first, then only drops a finding if both AI passes agree.

Semgrep

Semgrep teams usually tune rules, policies, and triage state to improve signal quality.

When a repo becomes team-wide

Oryon

A linked repository keeps shared suppressions and scan history connected to the same repo fingerprint.

Semgrep

Semgrep centralizes findings and policies in the platform for broader governance.

Fast validation

How to run a serious pilot

  1. Link one representative repository from the extension and run local scans during normal coding.
  2. Measure which findings still matter after prefilter, strict AI triage, and shared suppressions.
  3. Decide whether your team values tighter IDE workflow or broader rule-program control.

Key questions

Frequently asked questions

What is the biggest difference between Oryon and Semgrep?
Semgrep is a strong fit for rule-centric AppSec programs. Oryon is stronger when you want the daily security loop to start inside VS Code with local analysis, conservative triage, and repo-linked team memory.
Can we use Oryon and Semgrep together?
Yes. Many teams can keep Semgrep in broader AppSec workflows while using Oryon as the developer-facing security layer inside the IDE.
What should we evaluate in a pilot?
Focus on developer signal quality, how quickly false positives are handled, whether local scans fit the team workflow, and how useful the linked dashboard becomes once the repository is synced.