Security for Software
That Builds Itself.

Corridor secures AI coding agents as they write code, enforces what's safe to ship, and scales with your team as agents take on more.

Trusted by leading security teams

Etsy
ElevenLabs
Lovable
Mercor
LangChain
Sublime Security
Qlik
Pylon
Omnea
Resilience
WitnessAI
Casca
turbopuffer

Before Corridor, security and code review looked like an insurmountable backlog of work. I realized I needed something like Corridor day one at LangChain — the company's velocity was tremendous and I was losing ground to all of the development work going on. One of our infrastructure engineers told me Corridor has stopped them from shipping critical infrastructure vulnerabilities, and caught insecure testing resources well before they reached production.

We looked at over ten tools and most produced a lot of noise. Corridor was different — it consistently caught real vulnerabilities. Running directly in my dev workflow and in GitHub means issues get identified and fixed immediately. It’s quickly become part of my daily toolkit.

Corridor really fits in the proper 'Goldilocks zone' of security tools... every security professional has been subjected to tools that are way too noisy... I have been really pleasantly surprised by the feedback we've gotten from software developers at Sublime using Corridor.

Corridor is a critical part of our workflow today... without Corridor, I'd be a lot more concerned about the security feedback and security review processes.

Corridor enables security at pace with our ever-accelerating developer workflow. By providing context-rich analysis on every PR, we’re able to resolve & prevent complex issues without becoming the bottleneck.

Corridor has been a great addition to our Product Security program, giving us confidence to enable developers to use AI coding solutions while maintaining strong security standards. Its agentic AI driven approach helps us review far more code than a human-only process could ever cover, allowing security to scale with modern development speed.

Before Corridor, security and code review looked like an insurmountable backlog of work. I realized I needed something like Corridor day one at LangChain — the company's velocity was tremendous and I was losing ground to all of the development work going on. One of our infrastructure engineers told me Corridor has stopped them from shipping critical infrastructure vulnerabilities, and caught insecure testing resources well before they reached production.

We looked at over ten tools and most produced a lot of noise. Corridor was different — it consistently caught real vulnerabilities. Running directly in my dev workflow and in GitHub means issues get identified and fixed immediately. It’s quickly become part of my daily toolkit.

Corridor really fits in the proper 'Goldilocks zone' of security tools... every security professional has been subjected to tools that are way too noisy... I have been really pleasantly surprised by the feedback we've gotten from software developers at Sublime using Corridor.

Corridor is a critical part of our workflow today... without Corridor, I'd be a lot more concerned about the security feedback and security review processes.

Corridor enables security at pace with our ever-accelerating developer workflow. By providing context-rich analysis on every PR, we’re able to resolve & prevent complex issues without becoming the bottleneck.

Corridor has been a great addition to our Product Security program, giving us confidence to enable developers to use AI coding solutions while maintaining strong security standards. Its agentic AI driven approach helps us review far more code than a human-only process could ever cover, allowing security to scale with modern development speed.

Before Corridor, security and code review looked like an insurmountable backlog of work. I realized I needed something like Corridor day one at LangChain — the company's velocity was tremendous and I was losing ground to all of the development work going on. One of our infrastructure engineers told me Corridor has stopped them from shipping critical infrastructure vulnerabilities, and caught insecure testing resources well before they reached production.

We looked at over ten tools and most produced a lot of noise. Corridor was different — it consistently caught real vulnerabilities. Running directly in my dev workflow and in GitHub means issues get identified and fixed immediately. It’s quickly become part of my daily toolkit.

Corridor really fits in the proper 'Goldilocks zone' of security tools... every security professional has been subjected to tools that are way too noisy... I have been really pleasantly surprised by the feedback we've gotten from software developers at Sublime using Corridor.

Corridor is a critical part of our workflow today... without Corridor, I'd be a lot more concerned about the security feedback and security review processes.

Corridor enables security at pace with our ever-accelerating developer workflow. By providing context-rich analysis on every PR, we’re able to resolve & prevent complex issues without becoming the bottleneck.

Corridor has been a great addition to our Product Security program, giving us confidence to enable developers to use AI coding solutions while maintaining strong security standards. Its agentic AI driven approach helps us review far more code than a human-only process could ever cover, allowing security to scale with modern development speed.

The shift

Software development is being rebuilt.
Security is the last part that hasn't been.

Agents write the features, open the pull requests, and increasingly ship them. Writing code stopped being the bottleneck; reviewing it became one.

Our approach

Prevention, not detection.

Corridor prevents vulnerabilities as agents write code, enforces what's allowed to merge, shows you everything they shipped, and works down the backlog you already have.

1 Prevention

Vulnerabilities that never get written

Corridor integrates with your coding agent, local or remote, to prevent vulnerabilities before they ever make it to the pull request.

  • Design stage security: Corridor returns security guardrails based on the agent's plan, preventing vulnerabilities and saving revision loops
  • Pre-commit scanning: for cloud agents, vulnerabilities are caught and flagged to the agent so they can be fixed autonomously
  • Works in your tools: Cursor, Claude Code, Codex, Copilot, VS Code, Devin, and their cloud agents
Cloud agent · session 4821
add an api endpoint to download a file given the file parameter
Ran Corridor
Corridor
Corridor Security Context
Feature Type: API endpoint • Validate filenames using secure methods, ensure file paths are confined within designated directories...
routes.py+12
# Secure file download endpoint
@app.route('/download', methods=['GET'])
def download_file():
filename = secure_filename(request.args.get('file'))
return send_file(safe_path, as_attachment=True)
pre-commit hook · corridor scan --staged
✓ no findings · commit allowed
→ pushed agent/download-endpoint, opened PR #248
2 Enforcement

Nothing merges that doesn't meet your bar

You set the security bar once. Corridor enforces it on every pull request, and records every exception.

  • Frictionless PR reviews: Corridor contextually reviews every pull request, catching tricky vulnerabilities without the noise
  • Your policy is the gate: pick the severities that must be clean, enforced as a required check, set once and applied everywhere
  • Self-improvement loop: every review and piece of feedback tunes Corridor to only flag the issues that matter to you
Pull Request #247
Corridor
corridor-securitybota minute ago

The endpoint lacks authorization/ownership checks, allowing any authenticated user to fetch other users' settings by changing the user_id path parameter (IDOR).

@app.route('/api/user/<int:user_id>/settings', methods=['GET'])
def get_user_settings(user_id):
if 'user_id' not in session:
return jsonify({'error': 'Not authenticated'}), 401
conn = get_db_connection()
Merge policyCritical + High must be clean
Corridor Review1 high finding blocks merge
Corridor Reviewre-checked after fix · merge unblocked
3 Observability

Complete visibility into the code your AI agents ship

Which AI tools your developers use, how much code their agents wrote, and whether it met your policy, across every project, in one place.

  • AI code, measured: tool adoption per team, volume of agent-written code, and how it trends
  • Policy adherence: not just what Corridor told the agent, but whether the code that shipped followed it
  • Agent governance: which agents ran, what they were allowed to call, and the audit trail behind it
Corridor Dashboard
Team compliance
0/ 265 members reporting
6 with privacy mode disabled
Agent sessions
0logged this month
each tied to an agent and a repo
Tool calls
0MCP, Bash, and skills
2 servers blocked by policy
Agent sessions per week
AI-authored pull requests by tool
Claude Code46%
Cursor31%
Codex14%
Copilot9%
MCP servers detected
ServerUsersSourceStatus
github142project configdetected
postgres-admin18user configdetected
unknown-fetch-server3user configunapproved
84 skills31 hook configs12 plugins3 secrets found
4 Triage & remediation

Corridor Agent triages and fixes what is already open

Corridor's agent helps AppSec engineers scale. Work through your vulnerability backlog and create guardrails to ensure those issues never surface again.

  • Full context, full control: the Corridor agent maintains your full security context, allowing you to automate your most time-intensive tasks
  • Burn through your backlog: review findings and produce fixes en masse
  • From Corridor, Slack, or your coding agent: work with Corridor where you already work
Corridor Agent
what critical findings are open across all projects?
CorridorCorridor Agent
payments-api · 2 criticalweb-checkout · 1 criticalbilling-worker · 1 high
Fixed the SSRF in payments-api and opened PR #412
fix these vulnerabilities, and create a guardrail to prevent them from being introduced again
CorridorCorridor Agent
4 fixes opened as pull requests · guardrail created from the pattern
Why it works

Security that adapts to your codebase

From guardrails written in your code to continuous learning, Corridor maintains a living security model of your codebase that gets sharper with every review.

Guardrails

Your codebase, your rules

Write your security standards in plain English and Corridor turns them into guardrails: rules written in terms of your own code, naming your libraries and your helpers instead of quoting generic advice. Every guardrail applies in the agent session and on every pull request.

Learning

It gets to know your code

Every review, every fix, and every false positive you report feeds back into the model. What Corridor flags gets sharper, and what it should ignore gets quieter, the longer it runs.

Available on

Built for Security and Engineering Teams

For Security Teams

  • Enable adoption of AI coding tools without sacrificing security: your security policy is enforced at the point of code generation
  • Full visibility: track AI tool usage, vulnerabilities in AI-generated code, and insecure configurations org-wide
  • Compliance ready: meet audit requirements with complete logs and security controls around your AI coding

For Engineering Teams

  • Frictionless security: no interaction required in the IDE, Corridor adds a security layer in the background
  • Works with your tools: seamless integration with Claude Code, Cursor, Copilot, and more
  • Learns your codebase: the security context Corridor enforces adapts to your team's patterns and requirements

Get security for software that builds itself.