ai-generated-code
Safeguard articles tagged "ai-generated-code" — guides, analysis, and best practices for software supply chain and application security.
17 articles
AI-driven DAST for modern applications
73% of open-source developers now use AI coding tools. Dynamic testing built for nightly crawls can't keep pace with apps that reshape their attack surface daily.
Securing AI-Generated Code FAQ: What Breaks and How to Fix It in 2026
Practical answers on securing AI-generated code — the vulnerability patterns models produce, why volume defeats manual review, hallucinated dependencies, and how Safeguard scans and auto-fixes at merge time.
Best AI Code Security Tools in 2026: An Honest Buyer's Guide
A balanced 2026 comparison of tools for securing AI-generated code and AI-native applications — Semgrep, CodeQL with Copilot Autofix, Snyk, Socket, Endor Labs, and model-layer tools — with an honest look at where Safeguard fits.
Securing AI-Generated Code: A Practical 2026 Guide
AI now writes a large share of the code shipping to production, and it reproduces the same insecure patterns humans do — at machine speed. Here is how to keep AI-authored code from becoming your next incident.
Can AI write secure code? Auditing AI-generated code
AI writes code fast, but studies from 2021 to 2025 show it also reproduces insecure patterns and invents fake dependencies. Here's what the data says.
Mapping AI-generated code risks to the CWE Top 25
45% of AI-generated code fails security tests. Here's how CWE Top 25 weaknesses like XSS, SQLi, and broken auth map to specific LLM coding habits.
AI Trust Report: developer sentiment on AI-generated code
Safeguard's 2026 AI Trust Report surveyed 1,412 developers and finds 91% use AI coding tools weekly, but only 34% trust the code it produces.
Risks of AI-Generated Code
AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.
How Snyk approaches securing AI-generated code from codin...
A technical look at how Snyk's DeepCode AI engine, Agent Fix, and Snyk Studio MCP server scan and govern code from AI coding assistants like Claude Code and Cursor.
The Hidden Risk of Copy-Pasted Code Snippets from Forums ...
Copy-pasted code from Stack Overflow and AI chats often ships with hidden vulnerabilities. Here's the data behind the risk, real breaches it caused, and how to catch it.
The Confidence Gap: Why Developers Trust AI Code More Tha...
Studies show developers trust AI-generated code more than human code, even though it's often less secure. Here's what's driving the AI code trust gap.
How 'Vibe Coding' Culture Is Reshaping Application Securi...
AI-assisted "vibe coding" is reshaping how much code ships and how little of it gets truly reviewed. Here's what the data shows and how AppSec teams should respond.