Guides, checklists, and deep dives on securing AI-generated code. Learn how to ship faster without shipping vulnerabilities.
Showing 33 articles
Analysis of 50,000+ AI-generated codebases reveals the most common security flaws. Learn what to watch for and how to fix each vulnerability.
We tested Claude, Copilot, and ChatGPT on 100 security-sensitive coding tasks. Here are the surprising results.
AI coding assistants write code fast—but studies show 40% contains security vulnerabilities. Here's what every developer needs to understand about AI code security.
AI coding tools consistently generate SQL injection vulnerabilities. Learn why this happens and how to detect these critical security flaws.
Map each OWASP Top 10 vulnerability to specific patterns in AI-generated code. A practical checklist for securing your AI-built applications.
AI tools frequently embed credentials in code. Learn how to find exposed secrets and prevent API key leaks before they reach GitHub.
Cross-site scripting is rampant in AI-generated frontend code. Learn how to detect and fix XSS in React, Next.js, and other frameworks.
Vibe coding is transforming software development. Learn what it means, who does it, and why security is the missing piece.
Head-to-head security analysis of popular AI coding platforms. Which tools generate the most secure code?
Built something amazing with Lovable? Here's how to secure it before real users arrive.
A workflow guide for Cursor users to integrate security scanning into AI-assisted development.
The comprehensive checklist for taking an AI-generated MVP to production-ready deployment.
Complete guide to securing Next.js applications on Vercel. Environment variables, edge functions, headers, and production hardening.
The definitive guide to managing secrets across development, preview, and production environments for vibe coders.
How to integrate security scanning into your CI/CD pipeline. Automated protection for AI-generated code.
Secure your GitHub Actions workflows. Secrets management, permissions, and preventing supply chain attacks.
Comparing security features of popular deployment platforms. Which is safest for your AI-generated app?
Deep dive into how AI tools create authentication vulnerabilities. Learn to identify and fix broken auth before attackers do.
Insecure Direct Object References let users access data they shouldn't. Here's how AI creates them and how to fix them.
APIs without rate limiting invite abuse. Learn how to implement proper rate limiting in your Next.js and Node.js applications.
RLS is your database's last line of defense. Learn to configure Supabase policies that actually protect your data.
AI generates code that trusts user input. Learn why validation is essential and how to implement it properly.
A comprehensive look at AI code security research, industry trends, and where the field is heading.
Enterprise security concerns about AI coding tools reveal important lessons for all developers.
What happens when AI-generated vulnerabilities lead to breaches? Real costs, real consequences, and how to avoid them.
Comparing security tools for AI-generated code. Features, pricing, and which tool fits your workflow.
When your AI-built app needs compliance certification. What to know about SOC 2, GDPR, HIPAA, and PCI-DSS.
Step-by-step tutorial for connecting your GitHub repo and running your first security scan with ShipReady.
A hands-on guide to understanding and fixing common security vulnerabilities found by scanning tools.
How to integrate Semgrep into your development workflow for automated security scanning.
Step-by-step guide to implementing security headers in Next.js. Protect against XSS, clickjacking, and more.
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