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Practical security guides for developers shipping AI-generated code. No fluff, just findings.

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Latest Articles

6 min read·

Claude Code Security: 3 CVEs, MCP Risks, and How to Stay Safe

Claude Code had 3 security vulnerabilities disclosed in 2025–2026, including one that lets attackers steal your API key without any user interaction. Here is what they are, how they work, and how to use Claude Code safely.

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5 min read·

How to Add Security Scanning to Your GitHub Actions CI/CD Pipeline (Free)

Adding automated security scanning to your GitHub Actions pipeline takes 5 lines of YAML and catches vulnerabilities before they merge. Here is a step-by-step guide using free tools, including the SecurePilot GitHub Action.

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8 min read·

OWASP LLM Top 10 (2025): A Practical Guide for Developers Building AI Apps

The OWASP LLM Top 10 for 2025 covers the 10 most critical risks in AI-powered applications: from prompt injection to excessive agency and vector database weaknesses. Here is a developer-readable guide with real code examples.

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6 min read·

GitHub Copilot Security: Is AI-Generated Code Putting Your Repo at Risk?

35% of GitHub Copilot-generated code snippets contain security weaknesses. The February 2026 RoguePilot flaw showed Copilot itself can be weaponized. Here are the risks and how to manage them.

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7 min read·

Is Cursor AI Safe? Security Risks Every Developer Should Know

Cursor AI has three known CVEs in 2025–2026. Your AI IDE can be weaponized against you just by opening a malicious repo. Here is what the attacks look like and how to protect yourself.

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5 min read·

Vibe Coding Security Risks: What AI Misses (and How to Catch It)

Vibe coding is fast, but AI assistants routinely miss critical security flaws. Here are the 5 most common vulnerabilities in vibe-coded apps and how to catch them before they ship.

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6 min read·

Free AI Code Security Tools in 2026: A Practical Comparison

From Anthropic Claude Code Security to Semgrep and SecurePilot, here is a practical breakdown of the best free and low-cost tools for scanning AI-generated code in 2026.

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6 min read·

Broken Access Control in AI-Generated APIs: 5 Patterns to Fix

Broken Access Control is the OWASP #1 vulnerability and the most common flaw in AI-generated API code. Here are the 5 patterns AI assistants consistently miss, with real examples and fixes.

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5 min read·

Hardcoded Secrets in AI-Generated Code: Why It Happens and How to Stop It

AI coding assistants frequently embed API keys, database passwords, and JWT secrets directly into source code. Here is why it happens, what it costs, and how to prevent it from ever reaching your repository.

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7 min read·

Prompt Injection in LLM Apps: The Developer Guide

Prompt injection is the OWASP #1 vulnerability for LLM applications, and most developers building AI features have never tested for it. This guide covers the attack patterns and practical defenses.

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5 min read·

ChatGPT Code Vulnerabilities: The 5 Most Common Security Flaws

ChatGPT generates code that runs, not code that is secure. This guide covers the 5 most common security vulnerabilities found in ChatGPT-generated code, with real examples and fixes.

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