Code and data flows
Injection, command execution, unsafe deserialization, XSS, paths and other vulnerable patterns. Rules and data tracking within a file, with locations and context to review each finding.
From your editor to your entire team. Find risks, understand their impact and prepare AI-assisted fixes without breaking your workflow.
Code, dependencies and configuration connected with the context your team needs to fix, review and keep moving.
From the first finding to the fix. One analysis connects risks in code, packages, credentials and configuration with your team's work.
Injection, command execution, unsafe deserialization, XSS, paths and other vulnerable patterns. Rules and data tracking within a file, with locations and context to review each finding.
Package inventory, known vulnerabilities, CVE/GHSA identifiers and fixed versions. Distinguishes patch, minor and major changes and prepares guidance for migration review.
Exposed credentials and unsafe settings in Terraform, Bicep, Kubernetes, Docker and pipelines. Review what your repository declares before it reaches production.
Rules for prompt injection patterns, model outputs reaching execution, dangerous tools, exposed keys and agent permissions. Also reviews MCP configurations, hooks and instruction files.
Correctness, maintainability, performance and deprecated API patterns. Compatibility review notes for configured targets and additional guidance when a dependency changes major version.
AI-assisted explanations and proposed fixes, shared suppressions, issue drafts and reports. Your team reviews the change and decides when to apply it.
Coverage depends on the language, rules and profile. Templates and configuration may use generic rules; the analysis shows limitations and partial results.
OpenGrep and OSV provide detection. Oryon's layers add context, compatibility, assistance and a shared view of the results.
Specialist engines. Shared power.
Local detection across the project's files.
From inventory to affected versions and their fixed alternatives.
Help to understand, review and communicate the work ahead.
Static analysis runs locally. Dependency inventories and lookups may use external services; AI features send requested code context to the configured provider.
Engineering and security work from the same context. Compare scans, follow risk over time and share audit reports from one platform.
The video could not load. Reload the page to try again.
Scan history, suppressions with author and date, and API operation logs to review project activity.
Google, Magic Link, and SSO flows tied to company-scoped roles.
Projects, scans, and findings stay partitioned by company by design.
Create projects and scans or sync findings and dependency data from IDE or CI.
One workflow for the person fixing the code, the person reviewing a release and the person tracking the team's security progress.
Editor, repository and platform connected to your workflow.
Extension for VS Code-compatible editors. GitHub and GitLab let you open issue drafts with the finding's context.
GitHub Actions and Azure Pipelines run analysis in CI. Docker, Kubernetes, Terraform and other pipeline files are analyzed as part of the repository.