AI-Driven Self-Service Cybersecurity for Small and Home-Based Businesses

Abstract

Small and home-based businesses face a widening cybersecurity gap as their digital presence expands across e-commerce platforms, cloud services, and social media channels. Existing security tools assume dedicated expertise, mature infrastructure, and enterprise-scale resources—conditions absent in small business environments. This gap creates measurable exposure to credential theft, web application exploits, misconfigured cloud assets, and brand impersonation. This article presents SecureMyStore.ai, an AI-driven self-service cybersecurity framework designed specifically for resource-constrained, non-technical business owners. The framework combines tools for automatically finding assets, regularly checking for weaknesses, using machine learning to connect risks, and providing help based on large language models (LLMs) into one easy-to-use system. Evaluation results show that non-technical users experienced much better visibility of potential threats, more accurate detection of vulnerabilities, higher success rates in fixing issues, and faster detection times compared to using manual methods and current commercial tools. The framework also creates a repeatable system for security operations that focus on clear explanations, helping to solve ongoing problems like analyst fatigue and too many alerts, which are still issues in big companies.