How Our AI/ML-Powered Model Detects Threats in Flutter Packages 

October 29, 2024

In today’s rapidly evolving mobile app development landscape, ensuring security is no longer just an afterthought. With hundreds of new apps being published daily, particularly in ecosystems like Flutter, developers face a constant challenge: balancing speed and innovation with strong security protocols. That’s where Sequrify steps in. 

At Sequrify, we developed a custom AI/ML-powered model tailored specifically to detect vulnerabilities in Flutter applications. Our model revolutionizes how developers approach package security, offering a streamlined, efficient solution that doesn’t compromise on accuracy or speed. 

The Problem: Growing Complexity in Flutter App Development 

Flutter has grown into one of the most popular frameworks for building mobile applications, with more than 44,000 packages available to developers.  Apps today rely heavily on third-party libraries and packages, which often serve as the backbone of functionality. 

While these packages can drastically accelerate development time, they can also introduce risks. With the increasing use of open-source software, the number of potential vulnerabilities in these packages has also risen. Keeping track of which versions are safe, stable, and free from security flaws can be daunting, especially when new threats emerge every day. 

Recognizing the unique challenges developers face, we built our own dedicated AI/ML model. But what makes it special? 

  1. Custom-Built for Flutter: We identified that existing security tools, such as Snyk or GitHub’s Dependabot, lacked proper support for Flutter/Dart.  
  1. Data-Driven Security: Our AI model was trained using real-world data from GitHub repositories, focusing on over 19,000 issues raised by the Flutter community. This training allows our model to distinguish between stability-related and non-stability issues, providing actionable insights into which packages may introduce vulnerabilities. 
  1. No Access to Source Code Needed: One of the key innovations of Sequrify is that it doesn’t require access to your entire codebase. Instead, our model analyzes the packages used in your project by reviewing your pubspec.yaml file. This ensures a fast and efficient security check without compromising your intellectual property. 

Why AI/ML Matters in Security 

Traditional security audits can be time-consuming, requiring manual reviews of each package, its dependencies, and the potential risks. Our AI/ML model automates this process, scanning for issues in real-time and constantly learning from new data. 

By training our model to recognize patterns in package vulnerabilities, we’ve developed a solution that not only identifies current threats but can also anticipate potential future issues. This proactive approach is what sets Sequrify apart from other security tools. You’re not just reacting to problems—you’re staying one step ahead. 

In the fast-paced world of app development, security can’t be an afterthought. Sequrify empowers developers with the tools they need to ensure their Flutter apps are safe, stable, and ready for the market. Our AI/ML-powered model is the key to identifying vulnerabilities before they become a problem, allowing you to focus on what you do best—building great apps. 

Don’t leave your app’s security to chance. Let Sequrify take care of the heavy lifting, so you can launch your app with confidence. 

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