Cybeetle: A Practical AI Layer for Security Analysis in Modern Codebases
AI-assisted development has reduced the cost of writing code. It has not reduced the cost of understanding whether that code is secure. In many current workflows: code is generated quickly (often w...

Source: DEV Community
AI-assisted development has reduced the cost of writing code. It has not reduced the cost of understanding whether that code is secure. In many current workflows: code is generated quickly (often with AI) functionality is validated deployment follows shortly after Security analysis is either delayed or shallow. The issue is not the absence of tools. It is the absence of continuous, context-aware analysis. Problem Most security checks today fall into two categories: Static scanners → detect known patterns, limited context Manual review → high quality, not scalable Neither integrates well with fast, iterative development. As a result: vulnerabilities remain undetected in early stages configuration risks are overlooked compliance is treated as a separate, later concern Approach Cybeetle is built as a lightweight layer that runs alongside development and provides: code-level analysis system-level context basic alignment with common security frameworks The goal is not to replace security te