Security Hardening for AI Code

The Security Problem with AI Code

AI coding assistants like Cursor, Claude, Bolt.new, and Copilot are incredible for rapid development. But they’re trained to make code that works, not code that’s secure.

Common Security Flaws in AI-Generated Code

Why does this happen?

AI models are trained on open-source code—including insecure examples. They optimize for “it works” not “it’s secure.” And they lack understanding of security context and threat modeling.

You need a human security expert to review AI-generated code before launch.

What We Audit

Our security hardening service covers the OWASP Top 10 and beyond, specifically tailored for AI-generated applications.

Our Security Process

Security Coverage Checklist

Every audit includes comprehensive coverage of:

OWASP Top 10 (2023)

Additional Security Checks

Pricing

Pricing factors:

• Codebase size (lines of code, number of services)
• Complexity (number of integrations, data flows)
• Compliance requirements (SOC 2, HIPAA, etc.)
• Number and severity of vulnerabilities found
• Rush timeline (25% additional fee)

Real Security Incidents (Anonymized)

These are real vulnerabilities we found in AI-generated applications. Names and specifics changed to protect client confidentiality.

Case 1: The $12K API Key Leak

Application: Marketplace SaaS built with Cursor AI

Vulnerability: OpenAI API key hardcoded in frontend JavaScript, committed to public GitHub repo

Impact:

• Key was discovered by bots within 48 hours
• $12,000 in unauthorized API usage before client noticed
• Attacker used key for cryptocurrency-related prompts

Fix:

• Rotated API key immediately
• Moved key to backend environment variables
• Implemented rate limiting
• Set up usage alerts in OpenAI dashboard

Lesson: Never hardcode API keys. Always use environment variables and never commit secrets to git.

Case 2: SQL Injection in User Profile

Application: Social platform built with Bolt.new

Vulnerability: User profile lookup used string concatenation instead of parameterized queries

Impact:

• Attacker could access any user’s private data
• Potential for data exfiltration of 5,000+ user records
• Could modify or delete database records

Attack example:

-- AI-generated vulnerable code
const user = await db.query(`SELECT * FROM users WHERE id = '${userId}'`);

-- Attacker sends: userId = "1' OR '1'='1"
-- Results in: SELECT * FROM users WHERE id = '1' OR '1'='1'
-- Returns ALL users

Fix:

• Replaced all string concatenation with parameterized queries
• Added input validation
• Implemented prepared statements
• Added web application firewall (WAF) rules

Case 3: Broken Authentication

Application: Healthcare booking app built with Claude

Vulnerability: JWT tokens had no expiration, stored in localStorage, no refresh token mechanism

Impact:

• Tokens never expired (valid forever)
• Vulnerable to XSS attacks (localStorage readable by JavaScript)
• No way to invalidate compromised tokens
• No session management

Fix:

• Implemented proper JWT expiration (15 minutes)
• Added refresh token mechanism (7 days, stored in httpOnly cookie)
• Moved access token to memory (not localStorage)
• Built token revocation system
• Added logout on all devices feature

Case 4: Mass Assignment Vulnerability

Application: E-commerce admin panel built with GitHub Copilot

Vulnerability: API allowed updating any user field without authorization checks

Attack example:

// Vulnerable code
app.put('/api/users/:id', async (req, res) => {
  await User.update(req.params.id, req.body); // Updates ANY field!
});

// Attacker sends:
// PUT /api/users/123
// { "role": "admin", "isVerified": true, "balance": 10000 }

Impact:

• Regular users could make themselves admins
• Could modify their account balance
• Could bypass email verification

Fix:

• Implemented whitelist of allowed fields
• Added role-based authorization checks
• Validated all input against schema
• Added audit logging for admin privilege changes

Case 5: Exposed Internal API

Application: Analytics dashboard built with v0.dev

Vulnerability: Internal admin API endpoints accessible without authentication due to CORS misconfiguration

Impact:

• /api/admin/users - List all users with emails and personal data
• /api/admin/analytics - Company financial metrics
• /api/admin/logs - Application logs with sensitive data

Fix:

• Implemented proper authentication on all admin endpoints
• Fixed CORS to only allow frontend domain
• Added rate limiting
• Implemented IP whitelisting for admin endpoints
• Removed verbose error messages that leaked system info

Compliance Support

Need to meet specific compliance requirements? We provide security hardening aligned with major frameworks.

Important: We provide technical security implementation. Full legal compliance certification requires working with attorneys and certified auditors. We can recommend partners if needed.

FAQ

Who This Is For

Perfect Fit

✅ AI-generated or vibe-coded application - Built with Cursor, Claude, Bolt, etc. ✅ Preparing to launch - Want security handled before going live ✅ Handling sensitive data - User data, payments, health records, financial data ✅ Raising funding - Investors want security due diligence ✅ Selling to enterprises - B2B customers require security questionnaires ✅ Compliance requirements - HIPAA, SOC 2, GDPR, PCI DSS ✅ Recent security scare - Bot attacks, suspicious activity, or failed security scan

Not a Fit

❌ Static website with no user data or authentication ❌ Still in prototype phase (wait until you validate idea) ❌ Already have a security team doing regular audits ❌ App is trivial with no sensitive functionality

Get Secure Before You Launch

Don’t wait for a security breach to think about security. 45% of AI-generated code has vulnerabilities—get audited and fixed before attackers find them.

Related Services

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