Agentic AI -Driven Cyber Defence Framework for Autonomous Threat Detection and Response
Year: 2026
Type: article
Abstract: The increasing speed and complexity of modern cyber threats have brought into light the limitations of the traditional and human-centred processes in dealing with these threats. In this paper, we propose an innovative Cyber Defence Framework based on Agentic Artificial Intelligence (AACDF), which involves multi-agent orchestration along with autonomous decision-making abilities in the whole process of detecting and responding to threats. In particular, this framework uses dedicated agents such as perception, reasoning, action, and coordination agents working in a hierarchical manner inside the control loop based on the MAPE-K model enriched with large language model reasoning. We discuss the architecture design, the interaction mechanism between agents, and the decision-making process regarding autonomous actions for containing and remediating detected threats. A comparative analysis of the proposed framework with state-of-the-art autonomous cyber defence approaches highlights its advantages in terms of explainability and adaptability.
Authors: Dr R. Karthikeyan, Ms. M. Sivapriya
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225816388
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