Adaptive Edge Intelligence: Integrating AI and DevSecOps for Real-Time Threat Mitigation
DOI:
https://doi.org/10.22399/ijcesen.4799Keywords:
AI-driven cybersecurity, DevSecOps integration, edge intelligence, real-time threat mitigationAbstract
Since edge computing is a more viable functionality of real-time processing and decision-making, the traditional models of security are grotesquely incapacitated in their ability to respond to the emerging cyber menaces. The integrated application of Artificial Intelligence (AI) and DevSecOps can provide a breakthrough network in the adaptive response to threats on a decentralized platform, which requires low latency, high scalability, and enhanced responsiveness. The present paper is an edge computing system AI and DevSecOps convergence review that constitutes what is otherwise referred to as Adaptive Edge Intelligence. It discusses the most prominent mechanism of adding AI-assisted threat detection, policy enforcement, and other security inspections to the DevSecOps chain. It also takes care of the MLOps functions of the model lifecycle management, compares the models of the AI-based security, and outlines the new practices to eliminate the operational discontinuity between the DevOps and the SecOps workgroups. To establish how such integration improves the resiliency of cybersecurity, the paper discusses the current strategies and frameworks and provides compliance and allows prompt response to dynamic and distributed computing environments.
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