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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: SECURE CODE REVIEW WITH AI: ENHANCING STATIC AND DYNAMIC ANALYSIS
Authors Name: Ilakiya Ulaganathan
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IJRTI_205537
Published Paper Id: IJRTI2507168
Published In: Volume 10 Issue 7, July-2025
DOI: https://doi.org/10.56975/ijrti.v10i7.205537
Abstract: Over the years, as the software systems grew in complexity and connectivity, the risk of getting a vulnerability embedded in a piece of code has also significantly grown. Secure code review—a contemporary practice in software development—becomes the first and last line in defense of the cyberworld. Traditional code reviewing methods, which are attacked by way of static and dynamic analyses, have been useful but limited due to scaling issues, the false positives they cannot avoid, and the inability to adapt to changing threat landscapes. The review herein aims to elucidate the transformation of secure code review with AI-powered enhancement of both static and dynamic analysis techniques. AI-powered models, chiefly those of ML and NLP genres, have been contributing toward discovering vulnerabilities accurately, minimizing false-positive cases, and interpreting codes into further insights about behaviors.
Keywords: Secure Code Review; Artificial Intelligence; Static Analysis; Dynamic Analysis; Vulnerability Detection; Machine Learning; NLP in Code Analysis
Cite Article: "SECURE CODE REVIEW WITH AI: ENHANCING STATIC AND DYNAMIC ANALYSIS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b468-b475, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507168.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2507168
Registration ID:205537
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205537
Page No: b468-b475
Country: Hayward, California, United States
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507168
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507168
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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