THE IMPACT OF ARTIFICIAL INTELLIGENCE FOR ENDPOINT PROTECTION IN GOVERNMENT INSTITUTIONS: A CASE STUDY OF KADUNA STATE ICT HUB
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- NGN 5000
Background of the Study
As digitalization becomes integral to government operations, securing endpoints—the devices and systems that access an organization's network—has become critical. Government institutions are prime targets for cyberattacks due to the sensitive nature of the data they handle. Endpoint protection involves safeguarding these devices, such as computers, servers, and mobile devices, against malicious activities, unauthorized access, and data breaches. The growing sophistication of cyberattacks, including malware, ransomware, and zero-day exploits, necessitates advanced protection strategies.
Artificial Intelligence (AI) has revolutionized endpoint security by enhancing threat detection, response, and prevention. Unlike traditional endpoint protection solutions, AI models can analyze large volumes of data, identify anomalies, and predict potential threats in real-time. Machine learning algorithms and behavioral analytics enable AI tools to adapt to emerging threats, reducing the risk of breaches. AI-powered solutions also automate responses to detected threats, ensuring faster resolution and minimizing human error.
In Kaduna State, the ICT Hub is a critical government institution tasked with promoting digital innovation and technological development. However, its increasing reliance on digital systems has made it vulnerable to cyber threats. This study examines how AI-driven endpoint protection can safeguard government institutions like the Kaduna State ICT Hub, ensuring the security of critical data and systems.
Statement of the Problem
Government institutions in Kaduna State face growing cybersecurity threats, including malware, phishing, and ransomware attacks, which compromise sensitive information and disrupt operations. Traditional endpoint protection solutions often fail to detect advanced threats, leaving systems exposed to vulnerabilities. The dynamic nature of cyberattacks necessitates proactive security measures, which many institutions lack due to limited technical expertise and outdated infrastructure.
AI-powered endpoint protection offers promising solutions by leveraging advanced algorithms to predict and mitigate threats. However, the adoption of AI in government institutions in Kaduna State is limited, with challenges ranging from resource constraints to technical knowledge gaps. There is a need to evaluate the effectiveness of AI-driven endpoint protection in addressing these challenges and securing government systems. This study seeks to fill this gap by assessing the impact of AI tools on endpoint security at the Kaduna State ICT Hub.
Aim and Objectives of the Study
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To evaluate the effectiveness of AI-driven endpoint protection in mitigating cyber threats at the Kaduna State ICT Hub.
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To identify the challenges associated with adopting AI-based security solutions in government institutions.
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To assess the cost-benefit implications of implementing AI-powered endpoint protection in the Kaduna State ICT Hub.
Research Questions
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How effective is AI-driven endpoint protection in preventing cyber threats at the Kaduna State ICT Hub?
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What are the challenges and benefits of adopting AI-based endpoint security in government institutions?
Research Hypotheses
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AI-driven endpoint protection significantly reduces the occurrence of cyber threats at the Kaduna State ICT Hub.
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Government institutions face financial and technical barriers in adopting AI-based security solutions.
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The benefits of AI-powered endpoint protection outweigh its implementation costs.
Significance of the Study
This study highlights the role of AI in enhancing cybersecurity for government institutions, particularly the Kaduna State ICT Hub. It provides insights into the effectiveness, challenges, and benefits of adopting AI-driven endpoint protection, serving as a valuable resource for policymakers, IT professionals, and government decision-makers. By promoting a better understanding of AI applications in cybersecurity, the study contributes to building more secure digital infrastructures in Kaduna State and beyond.
Scope and Limitation of the Study
The study focuses on the Kaduna State ICT Hub, analyzing the application of AI-driven endpoint protection tools. It assesses their effectiveness, adoption challenges, and economic implications. The research excludes other government institutions in Kaduna State and examines only AI-based solutions, excluding traditional cybersecurity tools. Resource limitations may restrict access to certain proprietary AI solutions.
Definition of Terms
Artificial Intelligence (AI): Technology enabling systems to perform tasks that typically require human intelligence, such as learning and decision-making.
Endpoint Protection: Security measures designed to protect network-connected devices from cyber threats.
Ransomware: Malicious software that encrypts data and demands payment for its release.
Zero-Day Exploits: Cyberattacks exploiting unknown software vulnerabilities.
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