Insights, tutorials, and best practices for secure development
AI coding assistants skip critical Next.js security controls. Use this checklist to find and fix the authentication, validation, and header vulnerabilities before attackers do.
AI coding tools ship fast but introduce serious vulnerabilities. This guide covers the full attack surface, platform-specific gaps, and actionable fixes for every vibe-coded app.
No security scanner catches every vulnerability. Learn the blind spots of SAST, DAST, SCA, and AI-powered tools—and the defense-in-depth practices that cover them.
Scan a website for vulnerabilities using automated tools that check for XSS, SQL injection, misconfigurations, and exposed secrets. Here's how to start.
Security testing software should run automatically in CI/CD, not quarterly. Rafter scans code, secrets, and dependencies on every PR with zero configuration.
Learn how SAST and static analysis work, compare top tools, and integrate static analysis into your CI/CD pipeline to catch vulnerabilities early.
SAST vs DAST — learn what each catches, when to use them, and how combining static and dynamic testing gives you complete security coverage.
Open source scanners now rival commercial tools on detection. The real cost is engineering time, not license fees—the honest verdict on when to pay.
A SaaS security platform eliminates infrastructure overhead with continuous scanning. Rafter runs SAST, secrets, and dependency checks — zero hosting.
SAST scanning finds vulnerabilities in source code before deployment. Learn how static analysis works, what it catches, and how to add it to your workflow.
Static analysis (SAST) tools parse code into ASTs, build control flow graphs, and trace tainted data to find vulnerabilities—and understand why they miss some bugs entirely.
Python security tools help developers find vulnerabilities in application code, dependencies, and AI/ML pipelines. Learn which tools matter and how to use them.
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