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8 Secure application development with ChatGPT

This chapter covers

  • Threat modeling with ChatGPT
  • Using ChatGPT to develop a security mindset
  • Mitigating risks using ChatGPT

In the evolving software development landscape, security concerns have escalated from an afterthought to being integral to a project’s design and implementation phases. Despite this elevated attention, developers often find it challenging to keep pace with the rapidly changing sphere of application security. This chapter offers a comprehensive understanding of how AI, specifically ChatGPT, can be embedded into various stages of the application development process to strengthen application security, providing a novel set of tools for building more secure software applications.

As we delve into this subject, we’ll explore how ChatGPT can be incorporated into various stages of the application development process for the ISAM application, written in Python using FastAPI. We’ll discuss how this AI model can help identify vulnerabilities, contribute to threat modeling, assess application design for potential insecurities, understand and apply security best practices.

8.1 Modeling threats with ChatGPT

8.1.1 Why it matters in today’s development landscape

8.1.2 How ChatGPT can aid in threat modeling

8.1.3 Case study: Simulating threat modeling with ChatGPT

8.2 Scrutinizing application design and identifying potential vulnerabilities

8.2.1 Evaluating design problems

8.2.2 Recognizing common vulnerabilities

8.3 Applying security best practices

8.3.1 Setting the security mindset

8.3.2 Continuous security testing

8.4 Encrypting data at rest and transit

8.4.1 The importance of data encryption

8.4.2 Data encryption at rest

8.4.3 Data encryption in transit

Summary