International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Autonomous AI Agent Framework for Cyber Threat Intelligence |
|---|---|
| ABSTRACT | The increasing complexity, speed, and volume of modern cyberattacks such as APTs, ransomware, and zero-day exploits have made traditional, human-dependent Cyber Threat Intelligence (CTI) systems insufficient for real-time detection and response. To address these challenges, this project proposes an Autonomous AI Agent Framework for Cyber Threat Intelligence that leverages Machine Learning, Natural Language Processing, agentic reasoning, and tools such as Python, FastAPI, Wireshark/Pyshark, Elasticsearch, Kibana, LangChain, and the OpenAI GPT-4 API. The system autonomously collects, analyzes, correlates, and interprets network traffic and threat intelligence feeds to identify anomalies, extract Indicators of Compromise, classify threats, and generate actionable reports. |
| AUTHOR | DR.NAVEEN H M, MADHUPRIYA HUGAR, SANJANA G S, SAMPATH KUMAR R, SKANDA G V Associate Professor, Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India UG Student, Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312003 |
| pdf/3_Autonomous AI Agent Framework for Cyber Threat Intelligence.pdf | |
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