Why AI-Generated Software Still Needs Security Testing
Cursor, Claude and Lovable can ship features fast – but speed without security review creates predictable vulnerabilities. Here is what we consistently find.
TechMaloo · 20 July 2025 · 2 min read
Built with AI? Ship with caution.
AI coding tools have dramatically accelerated software development. Founders can go from idea to deployed application in days. But velocity creates a predictable problem: **security is often an afterthought.**
We review applications built with Claude, Cursor, Lovable, Bolt and Replit regularly. The patterns are consistent.
What we consistently find
Authentication gaps
AI-generated auth often implements login without proper session management, password policies or account lockout.
Authorization failures
Role-based access control is frequently missing or incorrectly implemented – users can access data they should not see.
Exposed secrets
API keys, database credentials and service tokens appear in client-side code or committed to repositories.
Business logic flaws
AI tools implement happy-path flows well but miss edge cases – price manipulation, race conditions, idempotency failures.
Dependency vulnerabilities
Generated projects often include outdated packages with known CVEs.
The vibe-code security audit
TechMaloo's Vibe-Code Security Audit is designed for exactly this scenario: applications built quickly with AI tools that need professional review before customers or attackers – find the gaps.
Security testing is performed only with explicit authorization from the system owner.
What does this mean for organizations operating in Nigeria, Africa and the global market? AI accelerates building. It does not accelerate security. Test before you scale.
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