What Security Scanners Can and Cannot Tell You About AI-Built Apps

AI-assisted development tools can move a project from concept to production rapidly, but that speed often skips critical security review steps such as checking deployment settings, exposed secrets, and authorization boundaries. Public security scanners offer a useful first pass by inspecting HTTP headers, HTTPS behavior, public JavaScript bundles, cookies, and sensitive file paths on the deployed application. However, a clean scan result does not confirm an app is fully secure, since scanners can only observe what a normal visitor can access and cannot evaluate server-side logic, authorization enforcement, or database query safety. Complementary methods — including static source analysis, dependency scanning, and authenticated assessments — are needed to uncover deeper vulnerabilities like broken access controls or tenant data leakage. For applications handling payments, health data, or private customer information, authenticated security testing is considered essential rather than optional.