As More Coders Adopt AI Agents, Security Pitfalls Lurk in 2026

### Executive summary: The report analyzes how widespread adoption of AI (LLMs and agents) in software development is increasing productivity but also expanding the surface for insecure code and operational risk. It cites surveys showing heavy developer adoption, benchmarks where LLMs produce secure code only intermittently, and studies indicating significant rework of AI-generated code; it highlights exposed MCP servers and recommends integrating security prompts, scanners, AI-aware security tooling, and AI-specific bills of materials to manage these emerging risks.