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

As 2026 approaches, Dark Reading reports that AI-assisted coding is accelerating, but security remains a serious concern as organisations plan to embed AI tools across development pipelines. A BaxBench benchmark shows Anthropic’s Claude Opus 4.5 Thinking scoring top marks for security, yet the model only produces secure and correct code 56% of the time without prompts and 69% with vulnerability prompts.

A October 2025 JetBrains survey found 85% of nearly 25,000 developers regularly use AI tools for coding and software design, while a Google study reported that 90% of software-development professionals had adopted AI. The piece notes that adding security tooling and standard prompts in workflows can improve secure outcomes—67% of secure and correct results with a security reminder for Claude Opus 4.5 Thinking, though OpenAI’s GPT-5 performance declined in that scenario.

It also highlights risks such as AI hallucinations, non‑deterministic systems, and the emergence of MCP servers—1,862 were discovered connected to the public Internet, most without authentication. Finally, security leaders from Veracode and Snyk caution that shadow agents and insecure runtime states require formal policies and secure-by-default practices to prevent security blind spots as AI-enabled development becomes ubiquitous. according to BaxBench; JetBrains; Google; Veracode; Snyk