Cybersecurity for Small Businesses: Cost-Effective AI-Driven Solutions.
DOI:
https://doi.org/10.63084/cognexus.v2i1.221Keywords:
Cybersecurity, Small Business Security, Artificial Intelligence in Cybersecurity, Machine Learning Intrusion Detection, SME Cybersecurity, Threat Detection Systems, Cost-Effective Security Solutions; Network SecurityAbstract
Small businesses constitute a significant share of the global economy, yet they remain particularly vulnerable to cyberattacks because of limited financial resources, insufficient technical expertise, and reliance on basic digital infrastructure. Conventional cybersecurity systems are typically designed for large enterprises and require costly technologies and specialized personnel, making them impractical for many small organizations. This study examines the cybersecurity risks faced by small businesses and proposes a cost-effective security framework that incorporates artificial intelligence–based threat detection and automated response mechanisms. The research reviews common cyber threats affecting small firms, including phishing attacks, ransomware incidents, malware infiltration, and unauthorized network access. A layered cybersecurity architecture is developed to provide continuous network monitoring, anomaly detection, and rapid threat mitigation using machine learning techniques integrated with affordable cloud security services. The proposed framework is designed to minimize infrastructure costs while maintaining reliable threat detection capabilities. Several machine learning models are evaluated for their ability to detect malicious activities within small business networks, and their performance is assessed using metrics such as detection accuracy, false positive rate, response latency, and operational cost. Comparative analysis is conducted between traditional rule-based security systems and the proposed AI-assisted security approach. The results indicate that machine learning–based threat detection significantly improves the identification of abnormal network behavior and emerging cyber threats while reducing operational complexity. Automated security responses further strengthen the defensive posture of small organizations by enabling faster containment of suspicious activities. The study demonstrates that properly implemented AI-driven cybersecurity solutions can provide practical and affordable protection for small businesses without requiring extensive technical infrastructure. The findings offer guidance for small organizations seeking scalable cybersecurity strategies that balance security effectiveness with financial constraints.
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