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30 Security Rules for AI Vibe Coding
Securelic Perspective: Building AI Apps Without Creating Security Nightmares
AI assisted development often referred to as “vibe coding”is moving at unprecedented speeds. Tools like GitHub Copilot, ChatGPT and other AI coding assistants empower developers to ship products in days rather than months.
But speed without security is a massive liability.
At Securelic, we continuously scan real world applications for vulnerabilities and we consistently see the same alarming patterns in AI generated codebases:
- Fast AI built apps
- Weak authentication
- Exposed secrets
- Misconfigured storage
- Zero rate limiting
This guide breaks down 30 essential security rules for AI Vibe Coding. We explain these concepts in plain language, adding technical depth exactly where it matters. Whether you are building SaaS platforms, APIs, AI agents, or web apps, consider this your ultimate practical security checklist.
Session & Authentication Security
1. Set Session Expiration (JWT max 7 days + refresh rotation)
Long lived tokens are simply stolen tokens waiting to be abused. Keep your JSON Web Tokens (JWTs) short lived (ideally hours or a few days) and strictly enforce refresh token rotation after every single use.
2. Never Use AI Built Auth
Authentication is not something you should "generate with AI." It requires hardened flows, edge case handling and active attack mitigation. Rely on trusted, enterprise grade providers like:
3. Never Paste API Keys into AI Chats
Always use process.env and environment variables. If you accidentally paste secrets, API keys, or database credentials into an AI chat prompt, you must assume they are instantly compromised.
4. .gitignore Is Your First File
Before writing a single line of application code, ensure your .gitignore is configured to prevent sensitive files from ever entering version control. This includes
.env files
- API keys
- Private certificates
5. Rotate Secrets Every 90 Days
Even if you have no reason to believe your keys have been leaked, adopt an "assume breach" mindset. Proactively rotate your secrets every 90 days to minimize potential blast radius.
Dependency & Package Hygiene
6. Verify Every Package Exists
AI hallucinations are real. Always confirm that the npm/pip package the AI suggested is legitimate. Blindly installing packages makes you vulnerable to typo squatting malware.
7. Ask for Secure, Updated Versions
Older package versions often contain known CVEs (Common Vulnerabilities and Exposures). Always specify that your AI assistant should use the latest stable, secure release.
8. Run npm audit fix Immediately
Vulnerabilities can exist in your dependency tree before you even ship your first feature. Run audit checks early and fix them immediately.
Input & Data Protection
9. Sanitize Every Input
Never trust user input. Always use parameterized queries or ORMs to prevent SQL injection and sanitize HTML to prevent XSS attacks.
10. Enable Row Level Security (RLS) From Day One
If you are using PostgreSQL or Supabase, enforce data isolation at the database level. RLS ensures that users can only query or modify their own data.
11. Remove All console.log Before Shipping
Verbose logs are an attacker's best friend. Leaving them in production can inadvertently leak:
- Authentication tokens
- User emails
- Personally Identifiable Information (PII)
12. Strict CORS Configuration
Never use * (wildcard) for Cross Origin Resource Sharing (CORS) in a production environment. Strictly allow list only your verified, real domains.
13. Validate Redirect URLs
Prevent Open Redirect attacks by validating all redirect destinations against a strict, pre approved allow list.
Rate Limiting & Abuse Prevention
14. Protect Every Endpoint
No endpoint should be left exposed. Even mobile only or hidden APIs require strict authentication and rate limiting.
15. Rate Limit From Day One
Never launch without rate limits. A good baseline to start with is 100 requests per hour per IP. You can adjust this as your traffic grows, but having a baseline prevents immediate volumetric attacks.
16. Strict Limits for Password Reset
Password reset endpoints are prime targets for email bombing and account enumeration. Enforce strict limits (e.g., maximum 3 reset requests per email per hour).
17. Cap AI API Costs
Prevent financial abuse (Denial of Wallet attacks) by setting hard billing limits in two places:
- In your AI provider's dashboard (OpenAI, Anthropic, etc.)
- Within your own application's logic
Infrastructure & Edge Security
18. Add DDoS Protection
Leverage edge level filtering to block malicious traffic before it ever touches your origin server. Use trusted networks like:
- Cloudflare
- Vercel Edge Network
19. Lock Down Storage Buckets
Cloud storage (AWS S3, Google Cloud Storage) must be private by default. Users should only be able to access their specific scoped paths (e.g., /user-id/file.png). Never allow public directory listing.
20. Validate Uploads by File Signature
Do not rely on file extensions (like .png or .pdf). Attackers frequently rename malicious executables. Always validate the actual MIME signature (Magic Bytes) of the uploaded file.
21. Verify Webhook Signatures
If your app processes payments or external events (via Stripe, GitHub, etc.), you must cryptographically verify the webhook signature before trusting and processing the payload.
22. Configure SPF/DKIM for Email
Use trusted transactional email services like Resend or SendGrid and properly configure your DNS records (SPF, DKIM, DMARC). Without them:
- Your legitimate emails will go to spam.
- Attackers can easily spoof your domain.
Authorization & Logging
23. Check Permissions Server Side
Frontend UI hiding is purely cosmetic. A malicious user can easily bypass the frontend. Always enforce authorization and role checks on the backend server.
24. Ask AI to Review as a Security Engineer
Leverage AI defensively. Prompt your assistant: "Act as a senior application security engineer and review this code for vulnerabilities." It is surprisingly effective at catching logic flaws.
25. Ask AI to Hack Your App
Use adversarial prompting to uncover blind spots. Ask the AI how it would exploit the code it just wrote to reveal:
- Insecure Direct Object References (IDOR)
- Missing authentication
- Business logic abuse
26. Log Critical Actions
Audit trails are mandatory for any serious SaaS business. Ensure you are logging:
- Account deletions
- Role/permission changesPayment transactions
- Bulk data exports
Compliance & Resilience
27. Build a Real Account Deletion Flow
Data privacy laws like GDPR and CCPA require hard data deletion, not just a "soft delete" or "deactivation" flag in your database.
28. Automate Backups + Test Restore
An untested backup is fake security. Automate your database backups, but more importantly, run a test recovery at least quarterly to ensure the data is actually usable.
29. Separate Test & Production
Never share environments. You must have completely distinct and isolated:
- Databases
- API keys
- Storage buckets
30. Test Webhooks Must Never Touch Production
Your sandbox must stay a sandbox. A single misconfigured test webhook pointing to a production endpoint can trigger real refunds, delete real data, or send real emails to users.
Why This Matters
AI makes software development incredibly accessible, but it does not make security automatic. At Securelic, our continuous security scanners frequently flag exposed secrets, broken access controls, misconfigured storage, insecure dependencies and missing rate limits in AI generated applications.
AI Vibe Coding is a powerful paradigm shift, but without strict guardrails, it generates attack surfaces much faster than human teams can monitor them.
Final Thoughts
Security is not anti speed. Security is sustainable speed.
If you are building AI powered SaaS, intelligent agents, APIs, or developer tools, make this 30 rule checklist mandatory before every production deployment.
Always remember: The fastest way to kill a startup isn’t shipping too slowly. It’s a preventable data breach.
