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Crafting Secure Software

You're reading from   Crafting Secure Software An engineering leader's guide to security by design

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835885062
Length 156 pages
Edition 1st Edition
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Author (1):
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GitGuardian SAS GitGuardian SAS
Author Profile Icon GitGuardian SAS
GitGuardian SAS
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Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Introduction to the Security Landscape 2. Chapter 2: The Software Supply Chain and the SDLC FREE CHAPTER 3. Chapter 3: Securing Your Code-Writing Tools 4. Chapter 4: Securing Your Secrets 5. Chapter 5: Securing Your Source Code 6. Chapter 6: Securing Your Delivery 7. Chapter 7: Security Compliance and Certification 8. Chapter 8: Best Practices to Drive Security Buy-In 9. Other Books You May Enjoy Appendix: Glossary of Acronyms and Abbreviations: Index

Benefits and dangers of LLM-generated code

Code generated by large language model (LLM) artificial intelligence (AI) engines such as ChatGPT or GitHub Copilot is becoming pervasive and there is a mad dash to incorporate LLMs into everything, especially code-writing tools. And for good reason: it makes developers more productive.

Even if it’s just getting a recommendation of a regular expression to validate an email address, it can be significantly faster than trying to google it and copy it from Stack Overflow or someone’s blog post. If you don’t think it is pervasive, a series of fake book covers that went viral in 2016 included titles such as “Copying and Pasting from Stack Overflow” and “Remembering What to Google.”

Furthermore, the LLM for determining the best answer is based on statistical predictions, not Google’s search algorithm, which can often be gamed or optimized for, letting the page that is most optimized to...

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