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.

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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
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article

Preventing Security Code Vulnerabilities in the Age of AI (Artificial Intelligence) Code Assistants

Kamalakar Reddy Ponaka
Journal of Artificial Intelligence Machine Learning and Data Science
Software Engineering Research
article

Preventing Security Code Vulnerabilities in the Age of AI (Artificial Intelligence) Code Assistants

Kamalakar Reddy Ponaka
article en

Abstract

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.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 2(3)
DELL (United States) (US)
Openalex Percentile: Top 74%
Software Engineering Research
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