Building an Automated Code Security Static Analyzer using PyTorch CNN’s

Foreword

These days our digital worlds are under constant attack, safeguarding software applications against security threats is of the highest importance and will continue to be the key to protecting all of our data and indeed our very lives for decades to come.

With the complexity of modern software systems growing constantly, traditional methods of manual code review at scale can be inadequate in identifying potential security vulnerabilities effectively and in a timely manner. In this technical guide, we’ll dive into the intricate details of building an automated code security analyser using machine learning techniques.

This tool will allow developers to run automated static analysis on their codebases as part of their CICD pipeline which will in turn make them more security conscious by design which is a great thing for them and in turn the world !

Introduction

Traditional static code analysis tools have limitations in identifying known patterns of vulnerabilities and often struggle with the dynamic nature of modern software.

By utilising machine learning, we can develop a more intelligent solution that learns from vast amounts of data to recognize patterns indicative of security…