Preventing Security Code Vulnerabilities in the Age of AI (Artificial Intelligence) Code Assistants
In today's rapidly evolving technological landscape, the integration of Artificial Intelligence (AI) code assistants has revolutionized software development, promising increased efficiency and productivity.However, alongside this innovation comes the risk of inadvertently introducing security vulnerabilities into codebases.Integrated Development Environments (IDEs) equipped with code scanning capabilities play a crucial role in mitigating these risks.This whitepaper explores the significance of IDE code scans in identifying and preventing security vulnerabilities, particularly in the context of AI code assistants.It examines common vulnerabilities, highlights the challenges posed by AI-generated code, and outlines best practices for integrating code scans into the development workflow to bolster security measures effectively.
Authors
- Kamalakar Reddy Ponaka
Institutions
- DELL (United States) (US)
Publication Details
- Journal
- Journal of Artificial Intelligence Machine Learning and Data Science
- Published
- 2024-08-30
- DOI
- https://doi.org/10.51219/jaimld/kamalakar-reddy-ponaka/268
- Primary Topic
- Software Engineering Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00