ai-code-security
Safeguard articles tagged "ai-code-security" — guides, analysis, and best practices for software supply chain and application security.
6 articles
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.
The Hidden Cost of AI Code in Financial Services
Banks and fintechs are shipping AI-generated code faster than they can vet it. The bill for that speed is starting to come due.
Best AI and LLM generated code security scanning tools
An honest buyer's guide to AI generated code security scanning tools: what to evaluate, how six real vendors stack up, and where they fall short.
Why Snyk Agent Fix scopes fixes to a single file, and wha...
Snyk Agent Fix patches one file per finding. Here's why that scope exists, which vulnerability classes need multi-file fixes, and how to catch what a single-file patch leaves behind.
Why Scanning AI-Generated Code Requires Different Heurist...
AI coding assistants write fast but fail differently than humans do. Learn why scanning AI-generated code needs new heuristics for hallucinated dependencies.
The False Sense of Security Effect in AI-Assisted Develop...
AI coding assistants make developers write faster and trust more — even when the code is less secure. Here's what the data shows, and how to close the gap.