Cybersecurity and Edge Computing: Preserving Privately and Data Integrity in Decentralized Systems Through the Application of AI-Based Threat Detection Methods

The proliferation of edge computing, propelled by the want for real-time data processing and diminished latency, intensifies cybersecurity challenges. Edge computing environments, marked by decentralized architectures and varied device interconnectivity, encounter distinct risks that may jeopardize data integrity and privacy. This study investigates the convergence of cybersecurity and edge computing, highlighting the imperative for strong security measures to safeguard sensitive data at the network’s periphery. The study specifically examines the utilization of artificial intelligence (AI)-driven threat detection techniques to improve security protocols in decentralized systems. The study commences by delineating the intrinsic security issues linked to edge computing, encompassing data breaches, unlawful access, and assaults on distributed networks. A thorough examination of current AI-driven threat detection methods is provided, emphasizing their efficacy in recognizing aberrant activities and potential security concerns in real time. The paper illustrates, through empirical analysis and case studies, how AI-driven systems can markedly enhance threat detection capabilities, facilitating proactive responses to security issues prior to their escalation. The research investigates the amalgamation of AI algorithms with edge computing architectures, analyzing how these technologies might collaboratively improve the security framework of decentralized systems. The results highlight the imperative for enterprises to implement AI-driven cybersecurity frameworks customized for the distinct attributes of edge computing environments. The paper concludes with recommendations for optimal practices in the implementation of AI-driven threat detection solutions and underscores the necessity of continuous research to tackle evolving security concerns in edge computing. By improving the security and integrity of data at the edge, enterprises may fully use the advantages of edge computing while reducing risks linked to more advanced cyber attacks.