ai-generated-code
Safeguard articles tagged "ai-generated-code" — guides, analysis, and best practices for software supply chain and application security.
21 articles
Fingerprinting AI-Built Web Apps From the Outside
A DAST scan has no repository and no commit history — only what the server sends a browser. That is enough to identify the builder that generated an app, and nowhere near enough to name the model.
The AI Code Percentage On Your Dashboard Is a Floor, Not a Measurement
Commit-level attribution answers 'lines added by commits an assistant co-authored'. That is a different sentence from 'lines an AI wrote', and the gap between them is where governance metrics go wrong.
Your Git History Already Knows Which AI Wrote Your Code
Coding assistants sign their own work in the commit trailer block. That makes 'how much of this was AI-written' a parsing problem, not a heuristic one — as long as your tooling reads the commit body, which most of it does not.
AI Writes Code Faster Than You Can Review It. Which Scanner Do You Point at It?
AI-generated code arrives faster than review can absorb and fails in distinct patterns. SAST, DAST, and reachability each catch part of that — and each misses a specific, predictable slice.
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.
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.
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.
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.
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