Vibe Coding Security: Why 62% Of AI-Generated Code Ships With Vulnerabilities - OX Security

TL;DR

• AI models prioritize “making it work” by mimicking training data, often defaulting to insecure string concatenation and legacy patterns that bypass modern safety protocols.
• Developers shipping prompt code without a deep technical understanding miss non-functional requirements like Row Level Security (RLS) and input validation, leading to massive data exposures.
• Fragmented SAST and DAST tools fail to keep pace with AI. The OX Platform serves as a Unified Control Plane to eliminate the blind spots between AI coding and runtime.
• Models frequently insert unverified dependencies and hardcoded secrets from their training sets, introducing exploitable CVEs and credentials directly into the application core.
• Static analysis cannot verify if database access policies or cloud storage permissions are active; you must simulate adversarial attacks to confirm the system actually resists unauthorized access.
• To maintain velocity without catastrophe, security context must be embedded into the prompting workflow, preventing vulnerable patterns before the AI ever outputs a single line of code.…