Sourcegraph Cody Security Scanner
Building with Cody? Make sure your AI-assisted code is secure before deployment.
Enter your deployed app's URL. Review the findings, take the suggested fixes to your coding tool, and retest after making changes.
First scan free: issue counts and one finding revealed in detail. No card required.
AI Assistant Security Considerations
Sourcegraph Cody makes development fast, but AI-generated code often skips security best practices:
- !AI suggestions may include insecure patterns
- !Code context shared with AI service
- !Generated code needs security validation
- !Dependencies suggested may have vulnerabilities
Where Security Breaks in Sourcegraph Cody Apps
Built on Supabase (Postgres + RLS), Sourcegraph Cody applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Sourcegraph Cody deployments, the breakdown is 0 critical-impact issues, 2 high-impact, and 2 medium-or-lower.
AI suggestions may include insecure patterns
A common failure mode in Sourcegraph Cody applications: ai suggestions may include insecure patterns. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Code context shared with AI service
A common failure mode in Sourcegraph Cody applications: code context shared with ai service. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
Generated code needs security validation
A common failure mode in Sourcegraph Cody applications: generated code needs security validation. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Require human review for security-sensitive code (auth, data access, secrets). Run automated security scanning on every AI-generated change before merging.
Dependencies suggested may have vulnerabilities
A common failure mode in Sourcegraph Cody applications: dependencies suggested may have vulnerabilities. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
Fix: Run `npm audit` on every install. Verify suggested packages exist and have an established reputation before installing. Pin versions for reproducible builds.
What We Check
Secret Scanning
Detect exposed API keys and credentials.
Code Analysis
Review AI-generated code for vulnerabilities.
Dependency Check
Analyze suggested dependencies for security.
Database Security
Verify database access patterns.
What You'll Get
Why Sourcegraph Cody Apps Need Security Scanning
Sourcegraph Cody provides AI-powered code assistance with deep codebase understanding. This powerful context awareness speeds development but requires security awareness.
Review all AI suggestions for security implications and scan your deployed application to catch any issues before they become vulnerabilities.
How Sourcegraph Cody Security Scanning Works
Submit Your URL
Enter your Cody application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Sourcegraph Cody.
Automated Analysis
We check the reachable app for exposed secrets, browser protections, authentication issues and database access problems. A standard scan typically takes a few minutes; blocked requests or incomplete coverage are reported.
Get Actionable Results
Receive a detailed report with prioritized vulnerabilities, severity ratings, and step-by-step remediation guidance with code examples specific to Sourcegraph Cody.
Common Questions About Sourcegraph Cody Security
What does a VAS scan of a Sourcegraph Cody app check?
VAS checks the deployed pages, scripts and endpoints it can reach for issues including secret scanning, code analysis, dependency check, database security. The report records findings and coverage limits; it does not certify the whole app as secure.
What will I receive in the report?
Findings include severity, supporting evidence and remediation guidance. Your first scan is free, with issue counts and one finding revealed in detail. Paid report access unlocks every finding. Use Export for AI to bring available findings into your coding tool, review the proposed changes and retest.
Can a scan verify every permission and private workflow?
No. Coverage depends on reachable pages, discovered endpoints and enabled checks. Configure a test login for supported authenticated checks. Review source code and business-specific permissions separately. Zero findings does not prove an app is secure.
Does VAS change my code or database policies?
VAS provides recommendations, not automatic fixes. Adapt any suggested policy or code change to your data model, test that permitted users still have access and that other users do not, then rescan. Read checks alone cannot confirm insert, update or delete permissions.
What should I know before scanning a production app?
Only scan apps you own or have permission to test. Scan requests can trigger firewall rules, logs and rate limits. Review enabled checks, and use staging or dedicated test accounts for sensitive workflows. Active tests, where enabled, need separate care because they can make changes.
Remediation Playbook for Sourcegraph Cody
Priority-ordered fixes for the specific findings we see in Sourcegraph Cody apps. Critical items close data-exposure gaps; high items prevent compromise; medium items reduce attack surface. Applies to apps using Supabase (Postgres + RLS), the dominant Sourcegraph Cody stack.
1. AI suggestions may include insecure patterns
Why it matters: A common failure mode in Sourcegraph Cody applications: ai suggestions may include insecure patterns. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
2. Code context shared with AI service
Why it matters: A common failure mode in Sourcegraph Cody applications: code context shared with ai service. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Scan your deployed application with a security tool that understands this stack. Address the specific findings — generic best practices don't catch platform-specific misconfigurations.
3. Generated code needs security validation
Why it matters: A common failure mode in Sourcegraph Cody applications: generated code needs security validation. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Require human review for security-sensitive code (auth, data access, secrets). Run automated security scanning on every AI-generated change before merging.
4. Dependencies suggested may have vulnerabilities
Why it matters: A common failure mode in Sourcegraph Cody applications: dependencies suggested may have vulnerabilities. Left unchecked, this can lead to data exposure, unauthorized access, or service abuse.
How to close it: Run `npm audit` on every install. Verify suggested packages exist and have an established reputation before installing. Pin versions for reproducible builds.
Verify the fixes stuck
Rescan after deploying a fix to check whether the original finding still appears. Compare the evidence and coverage with the previous report. For permissions and private workflows, also repeat the relevant tests with authorized and unauthorized test users.
Check your Sourcegraph Cody app
Find observable security issues in your deployed app, review the evidence and take the next steps with your coding tool.
Start with a free scan. See issue counts and one finding in detail, then decide whether you need full report access.
More on Sourcegraph Cody Security
Every angle of Cody security, from the specific findings we detect to step-by-step fixes.
Sourcegraph Cody Security Risks
Specific risks we find in Cody apps, with real-world examples.
Sourcegraph Cody Security Issues
Issues grouped by severity with detection and fix steps.
Sourcegraph Cody Best Practices
Remediation playbook derived from Cody's actual failure modes.
Is Sourcegraph Cody Safe?
Honest assessment of Cody's production readiness.
Sourcegraph Cody with your database
The security gaps we find depend on which database sits behind Cody.