Building a internal tool with AWS? Let us review it.
Expert code review for internal tools built with AWS. We fix AWS-specific security gaps, optimize performance, and handle deployment. From $19.
Common AWS issues we find
Real problems from AWS codebases we've reviewed.
Overly permissive IAM policies
AI-generated IAM policies using Action: '*' and Resource: '*' — granting full access to every AWS service. This is the cloud equivalent of leaving all your doors unlocked.
Public S3 buckets
S3 buckets configured with public access for convenience during development. User uploads, database backups, and configuration files become accessible to anyone on the internet.
Unencrypted data at rest
Databases (RDS, DynamoDB), S3 buckets, and EBS volumes without encryption enabled. If a backup is exposed, all your data is readable.
Security groups wide open
EC2 security groups allowing inbound traffic from 0.0.0.0/0 on all ports instead of restricting to specific ports and IP ranges.
Internal Tool challenges to solve
Key internal tool concerns that AI-generated code often misses.
Access control
Who can see what? Internal tools need role-based access — finance sees revenue data, support sees customer data, engineering sees system metrics. AI tools build the dashboard but rarely implement granular permissions.
Data sensitivity
Internal tools often connect directly to production databases. A bug that deletes records or a missing auth check that exposes customer PII can have serious legal and business consequences.
Network security
Internal tools should be behind a VPN or protected network, not on the public internet. AI tools deploy to public URLs by default. Proper network configuration prevents external access.
Audit logging
When someone modifies data through an internal tool, you need to know who did what and when. This is essential for debugging, compliance, and accountability.
What we check
Key areas we review for AWS internal tool projects.
Access control — role-based permissions enforced server-side
Database security — read-only where possible, protected write operations
Network configuration — not publicly accessible, VPN or auth gateway
Audit logging — who did what, when
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your AWS internal tool project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a internal tool built with AWS?
Yes. We regularly audit AWS internal tool projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in AWS internal tools?
Common issues include overly permissive iam policies and public s3 buckets on the AWS side, combined with internal tool-specific concerns like access control and data sensitivity. We check for all of these and more.
How do I make my AWS internal tool production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For AWS internal tool projects, the typical path is: fix security gaps, address internal tool-specific requirements, optimize AWS performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a AWS internal tool?
Our code audit delivers a full report within 24 hours. For AWS internal tool projects, we check security, architecture, performance, and deployment readiness across all AWS-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
AWS by Use Case
Need help with your AWS internal tool?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.