Analysis · curated 28 Aug 2026
The AI coding security gap: Why faster development demands stronger guardrails
First reported blackduck.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
AI coding assistants are widely adopted yet produce insecure code by default, expanding the attack surface defenders must account for in their threat models and AppSec programs.
A Black Duck blog by Steve Smith argues that AI coding assistants accelerate development while multiplying application-security risk, citing a Stanford study finding that developers with AI assistants wrote less secure code and were overconfident about it. The piece outlines root causes of insecure AI-generated code, new attack vectors (including shadow AI and supply-chain risks like slopsquatting), and a seven-layer defensive strategy.