What Is Zero Trust Security?
Zero trust explained for developers. How the never-trust-always-verify model protects AI-generated applications from internal and external threats.
LLM Security Best Practices for Production Apps
Security practices for LLM applications in production. From architecture to monitoring, everything you need to ship securely.
AI Code Vulnerabilities: What Changed in 2026
The AI code security landscape evolved significantly in 2026. New tools, new vulnerabilities, new defenses. Here’s what changed.
Why AI Code Has More Security Flaws Than Human Code
The structural reasons why AI coding tools produce more vulnerable code than human developers, based on analysis of thousands of codebases.
Understanding OWASP LLM01: Prompt Injection
A deep dive into OWASP’s top LLM vulnerability. Attack variants, defense strategies, and practical implementation guidance.
How to Review AI-Generated Code for Security Issues
A practical code review framework for AI-generated code. Where to look, what to flag, and how to verify fixes.
OWASP LLM Top 10: A Developer's Guide
The OWASP LLM Top 10 explained for developers. What each vulnerability means, how to test for it, and how to fix it in your applications.
Building Prompt Injection Protection Into Your App
A practical implementation guide for adding prompt injection protection to LLM-powered applications. Code examples, architecture patterns, and …
The Hidden Security Risks of Vibe Coding
The security risks of vibe coding that don’t show up in vulnerability scanners. What happens when speed beats caution.
Prompt Injection vs Jailbreaking: What's the Difference?
Two terms often confused in LLM security. Understanding the difference matters for building proper defenses.
Common Vulnerabilities in AI-Generated Code (And How to Fix Them)
The specific security vulnerabilities AI coding tools create, with code examples showing the problem and the fix.
How to Defend Against Prompt Injection
Practical defenses against prompt injection attacks. Input validation, output filtering, architectural patterns, and detection strategies.