Managing Vulnerability Debt in the Age of AI Coding Assistants
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The Anatomy of AI-Generated Code Vulnerabilities
GitHub Copilot Security and the Dependency Dilemma
The Compounding Crisis: Managing Security Debt at AI Speed
Managing Vulnerability Debt in the Age of AI Coding Assistants Back to blog The Anatomy of...
AI code (27-42% of production) carries 2.74x more vulnerabilities; XSS fails 86%, security tasks fail 45%. AI developers create architectural flaws (+153%) and privilege escalation (+322%); iterating doesn't fix, forcing velocity-compliance tradeoff.
Managing Vulnerability Debt in the Age of AI Coding Assistants
Back to blog
The Anatomy of AI-Generated Code Vulnerabilities
GitHub Copilot Security and the Dependency Dilemma
The Compounding Crisis: Managing Security Debt at AI Speed

ActiveState surveys 300 security and engineering leaders on AI coding, open-source remediation debt, governance, and business…

We ran a session with Jordan Constantine, Head of Offensive Security at WorkNest Secure. Codacy CTO...

This article discusses the challenges and security risks introduced by AI-assisted coding in enterprise systems. It presents a…

A few weeks ago, while working on AI-generated code snippets we had added to our projects, we...

7 Vulnerability Patterns I Found in AI-Generated Code (and How to Catch Them) If you've...

Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That…