Augment Code Security Scanner
Augment Code brings AI to enterprise development. Enterprise-grade AI still needs enterprise-grade security review.
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.
Top 4 Security Issues in Augment Code Apps
Bypassed Security Middleware
AI-generated routes may skip the auth middleware pattern your team uses.
Inherited Insecure Patterns
Augment learns from your codebase — if there are insecure patterns, it propagates them.
Supply Chain Risk from AI Suggestions
Suggested dependencies may have known vulnerabilities.
Business Logic Exposure
AI has access to sensitive enterprise code during generation.
Where Security Breaks in Augment Code Apps
Built on Supabase (Postgres + RLS), Augment Code applications share a recognizable fingerprint, which means attackers and automated scanners find them the same way every time. Based on real vulnerability patterns in Augment Code deployments, the breakdown is 0 critical-impact issues, 2 high-impact, and 2 medium-or-lower.
Bypassed Security Middleware
AI-generated routes may skip the auth middleware pattern your team uses.
Fix: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.
Inherited Insecure Patterns
Augment learns from your codebase — if there are insecure patterns, it propagates them.
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.
Supply Chain Risk from AI Suggestions
Suggested dependencies may have known vulnerabilities.
Fix: Run `npm audit` on every install. Verify suggested packages exist and have an established reputation before installing. Pin versions for reproducible builds.
Business Logic Exposure
AI has access to sensitive enterprise code during generation.
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.
What We Check
Middleware Compliance
Verify AI-generated routes follow security middleware patterns.
Dependency Audit
Check all AI-suggested packages for vulnerabilities.
Pattern Consistency
Ensure generated code follows established security patterns.
Data Access
Verify authorization on all new endpoints.
What You'll Get
Why Augment Code Apps Need Security Scanning
Augment Code is an enterprise-focused AI coding platform backed by $252M in funding. It integrates deeply with existing codebases to provide context-aware code generation.
That deep codebase access is powerful for productivity but means the AI has visibility into sensitive business logic. vas ensures AI-assisted changes don't introduce security regressions.
How Augment Code Security Scanning Works
Submit Your URL
Enter your Augment application URL. Our scanner automatically detects your tech stack and configures the appropriate security checks for Augment Code.
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 Augment Code.
Common Questions About Augment Code Security
What does a VAS scan of a Augment Code app check?
VAS checks the deployed pages, scripts and endpoints it can reach for issues including middleware compliance, dependency audit, pattern consistency, data access. 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 Augment Code
Priority-ordered fixes for the specific findings we see in Augment Code 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 Augment Code stack.
1. Bypassed Security Middleware
Why it matters: AI-generated routes may skip the auth middleware pattern your team uses.
How to close it: Enforce email verification, minimum password requirements, and rate limiting on auth endpoints. Test auth flows as unauthenticated and cross-user to verify access controls.
2. Inherited Insecure Patterns
Why it matters: Augment learns from your codebase — if there are insecure patterns, it propagates them.
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. Supply Chain Risk from AI Suggestions
Why it matters: Suggested dependencies may have known vulnerabilities.
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.
4. Business Logic Exposure
Why it matters: AI has access to sensitive enterprise code during generation.
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.
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 Augment Code 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 Augment Code Security
Every angle of Augment security, from the specific findings we detect to step-by-step fixes.
Augment Code Security Risks
Specific risks we find in Augment apps, with real-world examples.
Augment Code Security Issues
Issues grouped by severity with detection and fix steps.
Augment Code Best Practices
Remediation playbook derived from Augment's actual failure modes.
Is Augment Code Safe?
Honest assessment of Augment's production readiness.
Augment Code Security Checklist
Pre-launch checklist covering every finding class for Augment.
How to Secure Augment Code Apps
Step-by-step hardening guide for Augment deployments.
Can Augment Code Apps Be Hacked?
Attack vectors specific to Augment and how they get exploited.
Augment Code with your database
The security gaps we find depend on which database sits behind Augment.