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Analysis of Cybersecurity Intelligence Attacks in Nigeria: An AI-Assisted Platform for Detection, Mitigation and Combating Digital Threats Using DeepSeek Integration


Authors : Orji, Cyrus Ebere; Paul Nosike; Ononiwu Chamberlyn C.; Ukachukwu Theddius N.

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/y9j5p54v

Scribd : https://tinyurl.com/4ep5w52w

DOI : https://doi.org/10.38124/ijisrt/26jul1684

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Abstract : Nigeria faces escalating cybersecurity challenges, recording an average of 4,200 weekly cyberattacks per organization-the highest in Africa and 60% above the global average [1]. The weaponization of Artificial Intelligence (AI) by threat actors, including terrorist organizations using frontier AI models for operational planning and tactical decisionmaking [2], has fundamentally transformed the threat landscape. Traditional security frameworks, designed for static, pattern-based threats, are increasingly inadequate against AI-driven intrusions such as automated phishing, identity exploitation, and multi-vector ransomware [1]. This paper presents the design, implementation, and evaluation of an AIassisted cybersecurity intelligence platform integrating the DeepSeek API to detect, analyze, and mitigate digital threats in the Nigerian context. The platform employs a Python-based architecture that ingests threat indicators, classifies and explains attacks using DeepSeek's natural language processing capabilities, and delivers actionable mitigation recommendations with confidence scoring. The system is made available as open-source code on GitHub and deployed via Streamlit Cloud for practical adoption.

Keywords : Artificial Intelligence, Cybersecurity Intelligence, DeepSeek API, Nigeria, Threat Detection.

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Nigeria faces escalating cybersecurity challenges, recording an average of 4,200 weekly cyberattacks per organization-the highest in Africa and 60% above the global average [1]. The weaponization of Artificial Intelligence (AI) by threat actors, including terrorist organizations using frontier AI models for operational planning and tactical decisionmaking [2], has fundamentally transformed the threat landscape. Traditional security frameworks, designed for static, pattern-based threats, are increasingly inadequate against AI-driven intrusions such as automated phishing, identity exploitation, and multi-vector ransomware [1]. This paper presents the design, implementation, and evaluation of an AIassisted cybersecurity intelligence platform integrating the DeepSeek API to detect, analyze, and mitigate digital threats in the Nigerian context. The platform employs a Python-based architecture that ingests threat indicators, classifies and explains attacks using DeepSeek's natural language processing capabilities, and delivers actionable mitigation recommendations with confidence scoring. The system is made available as open-source code on GitHub and deployed via Streamlit Cloud for practical adoption.

Keywords : Artificial Intelligence, Cybersecurity Intelligence, DeepSeek API, Nigeria, Threat Detection.

Paper Submission Last Date
30 - September - 2026

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