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Corridor

Code Security

Corridor reviews every pull request and provides real-time guidance to AI coding agents to secure code at the source.

At a Glance

Pricing

Free tier available

Try Corridor for Free trial period with access to Real-time security reviews of GitHub pull requests and Secure code generation through MCP server.

Pro: $240/yr
Team: $480/yr
Enterprise: Custom/contact/yr

Engagement

Available On

Windows
Linux
Web
API
VS Code

About Corridor

Corridor is a security platform that integrates with AI coding agents to prevent vulnerabilities before they're written and automatically reviews every pull request for security issues. By providing real-time guardrails and proactive security context to coding assistants like Cursor, Claude Code, and GitHub Copilot, Corridor enables development teams to ship code faster without sacrificing security.

  • Proactive Security Guardrails give AI coding agents the context they need to write secure code from the start, preventing vulnerabilities at the source rather than catching them after the fact.

  • Automated Pull Request Reviews detect security issues in pull requests automatically, providing detailed explanations and remediation guidance directly in your workflow.

  • Complete Observability Layer tracks AI-generated code across all tools and developers, monitoring MCP servers and security policy violations organization-wide.

  • MCP Server Integration works seamlessly with popular AI coding tools including Cursor, Claude Code, GitHub Copilot, Cognition Devin, and Factory.

  • Custom Guardrails and Context allow teams to adapt security policies to their codebase patterns and requirements, with auto-generated security guardrails for individual developers.

  • Frictionless Developer Experience operates in the background without requiring interaction in the IDE, adding a security layer without noisy alerts or additional work.

  • Compliance Ready meets audit requirements with complete logs and security controls around AI coding, enabling adoption of AI tools without sacrificing security standards.

To get started, sign up for a free account at app.corridor.dev and connect your GitHub repositories. Install the Corridor MCP server in your preferred AI coding tool to enable real-time security guidance. The platform automatically generates security guardrails based on your codebase and begins reviewing pull requests immediately. Teams can customize guardrails and gain visibility into AI coding activity across their organization through the Corridor dashboard.

Demo Video

Corridor Demo Video
Watch on YouTube

Community Discussions

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Pricing

TRIAL

Free trial period

Try Corridor for Free trial period with access to Real-time security reviews of GitHub pull requests and Secure code generation through MCP server.

  • Real-time security reviews of GitHub pull requests
  • Secure code generation through MCP server
  • Auto-generated security guardrails
  • Up to 5 projects
  • Up to 100 pull request reviews per month

Pro

For individual developers

$240
per year
  • Real-time security reviews of GitHub pull requests
  • Secure code as it's generated in your IDE through Corridor's MCP server
  • Auto-generated security guardrails
  • Up to 5 projects
  • Up to 100 pull request reviews per month

Team

Per developer, billed annually

$480
per year
  • All features in Pro
  • Deploy Corridor across your team
  • Custom guardrails and context
  • Full visibility into AI coding activity across your team
  • Up to 20 projects
  • 100 pull request reviews per developer per month

Enterprise

Contact Sales for pricing

Custom
contact sales
  • All features in Team
  • Chat with your codebase to understand your code's security and discover vulnerabilities
  • Enterprise security including zero data retention
  • Single tenant deployment (coming soon)
  • Unlimited projects
  • Unlimited pull request reviews
  • Unlimited repositories
View official pricing

Capabilities

Key Features

  • Real-time security reviews of GitHub pull requests
  • MCP server integration for AI coding agents
  • Auto-generated security guardrails
  • Custom guardrails and context
  • AI coding activity visibility and observability
  • Proactive vulnerability prevention
  • Detailed remediation guidance
  • Chat with codebase for security analysis
  • Enterprise security with zero data retention
  • Single tenant deployment

Integrations

Cursor
GitHub Copilot
Claude Code
Cognition Devin
Factory
Vercel
AWS Marketplace
GitHub
API Available
View Docs