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Call For Paper - Volume 13 | Issue 12 | Month- December 2025
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Published Paper Details:
Paper Title
Anomaly Detection In Log Files Using GenAI
Authors
Mohammed Rayyan Faizan, Nithesshkumar Jeer Sridhar, Mohd Ehteshaam Khan, Keshav Sharma, Pallavi B
Keywords
Generative AI, Large Language Models, Log Analysis, Anomaly Detection, Semantic Search, Root Cause Analysis, Natural Language Processing, Vector Embedding, LangChain, ServiceNow Integration, IT Operations, Incident Management, Automated Troubleshooting, Scalable Support Systems, AI-Powered Interfaces.
Abstract
Log analysis is a critical process in IT operations, often requiring significant time and technical expertise. Traditional methods are manual, slow, and prone to errors during incident resolution. This project presents GenAI LogAnalyzer, an AI-powered system that automates log analysis using Large Language Models (LLMs). The tool leverages semantic search and natural language processing to identify anomalies, trace prompt flows, and assist in root cause analysis. It integrates with frameworks like LangChain and platforms such as ServiceNow to streamline incident handling. Logs are converted into structured insights using vector embeddings and LLM-based summarization. Featuring a user-friendly interface, the system enhances scalability, reduces operational overhead, and accelerates IT support workflows with intelligent, automated analysis.
IJCRT's Publication Details
Unique Identification Number - IJCRT2512367
Paper ID - 298586
Page Number(s) - d137-d143
Pubished in - Volume 13 | Issue 12 | December 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Mohammed Rayyan Faizan, Nithesshkumar Jeer Sridhar, Mohd Ehteshaam Khan, Keshav Sharma, Pallavi B, "Anomaly Detection In Log Files Using GenAI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.d137-d143, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512367.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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